1. Optimizing Large-Scale Educational Assessment with a “Divide-and-Conquer” Strategy: Fast and Efficient Distributed Bayesian Inference in IRT Models. (2024). Lu, Jing ; Xu, Sainan ; Wang, Chun ; Zhang, Jiwei.
   In: Psychometrika.
   RePEc:spr:psycho:v:89:y:2024:i:4:d:10.1007_s11336-024-09978-1.

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2. A Novel Hybrid Approach: Integrating Bayesian SPDE and Deep Learning for Enhanced Spatiotemporal Modeling of PM 2.5 Concentrations in Urban Airsheds for Sustainable Climate Action and Public Health. (2024). Johnson, Daniel Patrick ; Heintzelman, Asrah ; Filippelli, Gabriel ; Ravi, Niranjan.
   In: Sustainability.
   RePEc:gam:jsusta:v:16:y:2024:i:23:p:10206-:d:1526630.

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3. An assessment of the utility of a Bayesian framework to improve response propensity modes in longitudinal data. (2024). Sturgis, Patrick ; Maslovskaya, Olga ; Durrant, Gabriele B ; Kibuchi, Eliud.
   In: LSE Research Online Documents on Economics.
   RePEc:ehl:lserod:126599.

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4. A new likelihood inequality for models with latent variables. (2024). Olsen, Niels Lundtorp.
   In: Statistics & Probability Letters.
   RePEc:eee:stapro:v:206:y:2024:i:c:s0167715223002225.

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5. Lead and delinquency rates; A spatio-temporal perspective. (2024). Mayer, Duncan J.
   In: Social Science & Medicine.
   RePEc:eee:socmed:v:341:y:2024:i:c:s0277953623008705.

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6. Bayesian forecasting in economics and finance: A modern review. (2024). Koop, Gary ; Huber, Florian ; Loaiza-Maya, Ruben ; Maneesoonthorn, Worapree ; Frazier, David T ; Martin, Gael M ; Panagiotelis, Anastasios ; Nibbering, Didier ; Maheu, John.
   In: International Journal of Forecasting.
   RePEc:eee:intfor:v:40:y:2024:i:2:p:811-839.

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7. Integrated nested Laplace approximations for threshold stochastic volatility models. (2024). Rue, Hvard ; Marin, Miguel J ; de Zea, P ; Veiga, Helena.
   In: Econometrics and Statistics.
   RePEc:eee:ecosta:v:30:y:2024:i:c:p:15-35.

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8. A Bayesian approach to projecting forest dynamics and related uncertainty: An application to continuous cover forests. (2024). Pommerening, Arne ; Bianchi, Simone ; Kuronen, Mikko ; Myllymaki, Mari ; Mehtatalo, Lauri.
   In: Ecological Modelling.
   RePEc:eee:ecomod:v:491:y:2024:i:c:s0304380024000577.

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9. A double Pólya-Gamma data augmentation scheme for a hierarchical Negative Binomial - Binomial data model. (2024). Ma, Xuan ; Laframboise, Thomas ; Brynjarsdottir, Jenn.
   In: Computational Statistics & Data Analysis.
   RePEc:eee:csdana:v:199:y:2024:i:c:s0167947324000938.

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10. Cox processes driven by transformed Gaussian processes on linear networks—A review and new contributions. (2024). Mller, Jesper ; Rasmussen, Jakob G.
    In: Scandinavian Journal of Statistics.
    RePEc:bla:scjsta:v:51:y:2024:i:3:p:1288-1322.

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11. Combining machine learning and econometrics: Application to commercial real estate prices. (2024). van De, Alex ; Francke, Marc.
    In: Real Estate Economics.
    RePEc:bla:reesec:v:52:y:2024:i:5:p:1308-1339.

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12. Increasing Trust in New Data Sources: Crowdsourcing Image Classification for Ecology. (2024). Price, Aiden ; Vercelloni, Julie ; Santosfernandez, Edgar ; Mengersen, Kerrie ; Peterson, Erin E ; Christensen, Bryce ; Heron, Grace.
    In: International Statistical Review.
    RePEc:bla:istatr:v:92:y:2024:i:1:p:43-61.

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17. Bayesian spatio?temporal survival analysis for all types of censoring with application to a wildlife disease study. (2023). Zhu, Jun ; Yao, Kehui ; Walsh, Daniel ; O'Brien, Daniel J.
    In: Environmetrics.
    RePEc:wly:envmet:v:34:y:2023:i:8:n:e2823.

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18. Spatiotemporal modeling of mature?at?length data using a sliding window approach. (2023). Flemming, Joanna Mills ; Treble, Margaret ; Field, Chris ; Cantoni, Eva ; Yan, Yuan.
    In: Environmetrics.
    RePEc:wly:envmet:v:34:y:2023:i:2:n:e2759.

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19. The scope of the Kalman filter for spatio?temporal applications in environmental science. (2023). Vishwakarma, Bramha Dutt ; Royston, Sam ; Chuter, Stephen ; Bamber, Jonathan ; Brady, Aoibheann ; Rougier, Jonathan ; Ziegler, Yann ; Westaway, Richard.
    In: Environmetrics.
    RePEc:wly:envmet:v:34:y:2023:i:1:n:e2773.

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20. Large?scale environmental data science with ExaGeoStatR. (2023). Genton, Marc G ; Keyes, David E ; Ltaief, Hatem ; Cao, Jian ; Li, Yuxiao ; Abdulah, Sameh ; Sun, Ying.
    In: Environmetrics.
    RePEc:wly:envmet:v:34:y:2023:i:1:n:e2770.

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21. Conjugate sparse plus low rank models for efficient Bayesian interpolation of large spatial data. (2023). Banerjee, Sudipto ; Cook, Bruce D ; Finley, Andrew O ; Shirota, Shinichiro.
    In: Environmetrics.
    RePEc:wly:envmet:v:34:y:2023:i:1:n:e2748.

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22. A TMB Approach to Study Spatial Variation in Weather-Generated Claims in Insurance. (2023). Stove, Brd ; Thorsen, Ingrid Sandvig ; Skaug, Hans J.
    In: SN Operations Research Forum.
    RePEc:spr:snopef:v:4:y:2023:i:4:d:10.1007_s43069-023-00250-3.

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23. Stable Non-Linear Generalized Bayesian Joint Models for Survival-Longitudinal Data. (2023). Rue, Hvard ; Bakka, Haakon ; Niekerk, Janet.
    In: Sankhya A: The Indian Journal of Statistics.
    RePEc:spr:sankha:v:85:y:2023:i:1:d:10.1007_s13171-020-00233-0.

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24. Scalable Semiparametric Spatio-temporal Regression for Large Data Analysis. (2023). Lewiska, Katarzyna E ; Ives, Anthony R ; Zhu, Jun ; Wang, Fangfang ; Ma, Ting Fung.
    In: Journal of Agricultural, Biological and Environmental Statistics.
    RePEc:spr:jagbes:v:28:y:2023:i:2:d:10.1007_s13253-022-00525-y.

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25. A small area model to assess temporal trends and sub-national disparities in healthcare quality. (2023). Eliakimu, Eliudi ; Gueye, Daouda ; Sarr, Moussa ; Leslie, Hannah H ; Fullman, Nancy ; Allorant, Adrien ; Reiner, Robert C ; Puttkammer, Nancy ; Pigott, David ; Dieleman, Joseph L ; Wakefield, Jon.
    In: Nature Communications.
    RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-40234-9.

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26. No evidence of sustained nonzoonotic Plasmodium knowlesi transmission in Malaysia from modelling malaria case data. (2023). Cuenca, Pablo Ruiz ; Jeffree, Mohammad Saffree ; Lindblade, Kim A ; Jelip, Jenarun ; Asyraf, Syafie ; Routledge, Isobel ; Topazian, Hillary M ; Drakeley, Chris ; Fornace, Kimberly M ; Ghani, Azra C ; Ahmed, Kamruddin ; Bhatt, Samir.
    In: Nature Communications.
    RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-38476-8.

    Full description at Econpapers || Download Direct and indirect effects of the COVID-19 pandemic on mortality in Switzerland. (2023). Konstantinoudis, Garyfallos ; Egger, Matthias ; Althaus, Christian L ; Fesser, Anna ; Hauser, Anthony ; Riou, Julien.
    In: Nature Communications.
    RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-022-35770-9.

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27. Bayesian Forecasting in the 21st Century: A Modern Review. (2023). Maheu, John ; Panagiotelis, Anastasios ; Nibbering, Didier ; Koop, Gary ; Huber, Florian ; Loaiza-Maya, Ruben ; Frazier, David T ; Martin, Gael M.
    In: Monash Econometrics and Business Statistics Working Papers.
    RePEc:msh:ebswps:2023-1.

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28. A Review of Surrogate Safety Measures Uses in Historical Crash Investigations. (2023). Yannis, George ; Ziakopoulos, Apostolos ; Nikolaou, Dimitrios.
    In: Sustainability.
    RePEc:gam:jsusta:v:15:y:2023:i:9:p:7580-:d:1139892.

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29. Electric vehicle adoption in a mature market: A case study of Norway. (2023). Lu, Chaoru ; Yang, DI ; Liu, Chenhui.
    In: Journal of Transport Geography.
    RePEc:eee:jotrge:v:106:y:2023:i:c:s0966692322002125.

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30. Nonparametric density estimation and risk quantification from tabulated sample moments. (2023). Lambert, Philippe.
    In: Insurance: Mathematics and Economics.
    RePEc:eee:insuma:v:108:y:2023:i:c:p:177-189.

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31. Joint models of multivariate longitudinal outcomes and discrete survival data with INLA: An application to credit repayment behaviour. (2023). Crook, Jonathan ; Calabrese, Raffaella ; Lindgren, Finn ; Medina-Olivares, Victor.
    In: European Journal of Operational Research.
    RePEc:eee:ejores:v:310:y:2023:i:2:p:860-873.

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32. Joint models for longitudinal and discrete survival data in credit scoring. (2023). Lindgren, Finn ; Crook, Jonathan ; Calabrese, Raffaella ; Medina-Olivares, Victor.
    In: European Journal of Operational Research.
    RePEc:eee:ejores:v:307:y:2023:i:3:p:1457-1473.

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33. Large stochastic volatility in mean VARs. (2023). Poon, Aubrey ; Koop, Gary ; Hou, Chenghan ; Cross, Jamie L.
    In: Journal of Econometrics.
    RePEc:eee:econom:v:236:y:2023:i:1:s030440762300163x.

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34. Additive dynamic models for correcting numerical model outputs. (2023). Huang, Hui ; Luo, Fangzhi ; Chang, Xiaohui ; Chen, Yewen.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:187:y:2023:i:c:s016794732300110x.

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35. A new avenue for Bayesian inference with INLA. (2023). Rue, Hvard ; Rustand, Denis ; Krainski, Elias ; van Niekerk, Janet.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:181:y:2023:i:c:s0167947323000038.

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36. The dimension-wise quadrature estimation of dynamic latent variable models for count data. (2023). Cagnone, Silvia ; Bianconcini, Silvia.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:177:y:2023:i:c:s0167947322001657.

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37. Following residential segregation by race spatiotemporally: A search for causality. (2023). Kim, Sunggeun.
    In: Social Science Quarterly.
    RePEc:bla:socsci:v:104:y:2023:i:4:p:869-886.

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38. A Statistical Review of Template Model Builder: A Flexible Tool for Spatial Modelling. (2023). Wakefield, Jon ; Osgoodzimmerman, Aaron.
    In: International Statistical Review.
    RePEc:bla:istatr:v:91:y:2023:i:2:p:318-342.

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39. Scalable Bayesian Multiple Changepoint Detection via Auxiliary Uniformisation. (2023). Shaochuan, LU.
    In: International Statistical Review.
    RePEc:bla:istatr:v:91:y:2023:i:1:p:88-113.

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40. Bayesian design of multi?regional clinical trials with time?to?event endpoints. (2023). Ibrahim, Joseph George ; Bean, Nathan William ; Psioda, Matthew Austin.
    In: Biometrics.
    RePEc:bla:biomet:v:79:y:2023:i:4:p:3586-3598.

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41. Bayesian model selection for generalized linear mixed models. (2023). , Marco ; Xu, Shuangshuang ; Franck, Christopher T ; Porter, Erica M.
    In: Biometrics.
    RePEc:bla:biomet:v:79:y:2023:i:4:p:3266-3278.

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42. Joint model for longitudinal and spatio-temporal survival data. (2023). Lindgren, Finn ; Medina-Olivares, Victor ; Crook, Jonathan ; Calabrese, Raffaella.
    In: Papers.
    RePEc:arx:papers:2311.04008.

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51. Practical strategies for generalized extreme value?based regression models for extremes. (2022). Rue, Hvard ; Huser, Raphael ; Castrocamilo, Daniela.
    In: Environmetrics.
    RePEc:wly:envmet:v:33:y:2022:i:6:n:e2742.

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52. A projection?based Laplace approximation for spatial latent variable models. (2022). Lee, Sangwan ; Park, Jaewoo.
    In: Environmetrics.
    RePEc:wly:envmet:v:33:y:2022:i:1:n:e2703.

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53. Spatial distribution of invasive species: an extent of occurrence approach. (2022). Saavedra-Nieves, Paula ; Rodriguez-Casal, Alberto.
    In: TEST: An Official Journal of the Spanish Society of Statistics and Operations Research.
    RePEc:spr:testjl:v:31:y:2022:i:2:d:10.1007_s11749-021-00783-x.

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54. Bayesian Model Selection for Longitudinal Count Data. (2022). Ariyo, Oludare ; Lesaffre, Emmanuel ; Verbeke, Geert ; Quintero, Adrian.
    In: Sankhya B: The Indian Journal of Statistics.
    RePEc:spr:sankhb:v:84:y:2022:i:2:d:10.1007_s13571-021-00268-9.

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55. Public lands as a mitigator of wildfire burned area using a spatio-temporal model applied in Sardinia. (2022). Detotto, Claudio ; Vannini, Marco ; Serra, Laura.
    In: Letters in Spatial and Resource Sciences.
    RePEc:spr:lsprsc:v:15:y:2022:i:3:d:10.1007_s12076-022-00315-7.

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56. Intersectoral and spatial spill-overs of firms’ bankruptcy in Spain. (2022). Detotto, Claudio ; Vannini, Marco ; Juan, Pablo ; Serra, Laura.
    In: Letters in Spatial and Resource Sciences.
    RePEc:spr:lsprsc:v:15:y:2022:i:2:d:10.1007_s12076-021-00296-z.

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57. Modelling Sub-daily Precipitation Extremes with the Blended Generalised Extreme Value Distribution. (2022). Rue, Hvard ; Castro-Camilo, Daniela ; MARTINO, SARA ; Vandeskog, Silius M.
    In: Journal of Agricultural, Biological and Environmental Statistics.
    RePEc:spr:jagbes:v:27:y:2022:i:4:d:10.1007_s13253-022-00500-7.

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58. A Spatial Modeling Framework for Monitoring Surveys with Different Sampling Protocols with a Case Study for Bird Abundance in Mid-Scandinavia. (2022). Oien, Ingar Jostein ; Stokke, Brd ; May, Roel ; Steinsland, Ingelin ; Pavon-Jordan, Diego ; Sicacha-Parada, Jorge.
    In: Journal of Agricultural, Biological and Environmental Statistics.
    RePEc:spr:jagbes:v:27:y:2022:i:3:d:10.1007_s13253-022-00498-y.

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59. Probabilistic Forecasts of Arctic Sea Ice Thickness. (2022). Raftery, Adrian E ; Bitz, Cecilia M ; Director, Hannah M ; Gao, Peter A.
    In: Journal of Agricultural, Biological and Environmental Statistics.
    RePEc:spr:jagbes:v:27:y:2022:i:2:d:10.1007_s13253-021-00480-0.

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60. Small-area moving ratios and the spatial connectivity of neighborhoods: Insights from consumer credit data. (2022). , Madeleine.
    In: Environment and Planning B.
    RePEc:sae:envirb:v:49:y:2022:i:3:p:1129-1146.

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61. Estimating coastal premiums for apartment prices: Towards a new multilevel modelling approach. (2022). Ling, Yuheng.
    In: Environment and Planning B.
    RePEc:sae:envirb:v:49:y:2022:i:1:p:188-205.

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62. Wildflower phenological escape differs by continent and spring temperature. (2022). Kuebbing, Sara E ; Heberling, Mason J ; Yang, Yong ; Rosche, Christoph ; Miller, Tara K ; Lee, Benjamin R ; Primack, Richard B.
    In: Nature Communications.
    RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-34936-9.

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63. Green gentrification in European and North American cities. (2022). Matheney, Austin ; James, ; Ramos, Lucia Arguelles ; Anguelovski, Isabelle ; Pulgar, Carmen Perez ; Shokry, Galia ; Conesa, David ; Minaya, Joaquin Martinez ; Martin, Nicholas ; Beltran, Miguel Angel ; Baro, Francesc ; Sarzo, Blanca ; Triguero-Mas, Margarita ; Maez, Jesua Lopez ; Garcia-Lamarca, Melissa ; Oscilowicz, Emilia ; Cole, Helen ; Gallez, Elsa.
    In: Nature Communications.
    RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-31572-1.

    Full description at Econpapers || Download Computing Bayes: From Then `Til Now. (2022). Robert, Christian P ; Frazier, David T ; Martin, Gael M.
    In: Monash Econometrics and Business Statistics Working Papers.
    RePEc:msh:ebswps:2022-14.

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64. Preferences of Institutional Investors in Commercial Real Estate. (2022). Minne, Alex ; Milcheva, Stanimira ; Cvijanovi, Dragana.
    In: The Journal of Real Estate Finance and Economics.
    RePEc:kap:jrefec:v:65:y:2022:i:2:d:10.1007_s11146-020-09816-y.

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65. Spatiotemporal high-resolution prediction and mapping: methodology and application to dengue disease. (2022). Nyoman, Gede I ; Folmer, Henk.
    In: Journal of Geographical Systems.
    RePEc:kap:jgeosy:v:24:y:2022:i:4:d:10.1007_s10109-021-00368-0.

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66. The New Dominator of the World: Modeling the Global Distribution of the Japanese Beetle under Land Use and Climate Change Scenarios. (2022). Milanesi, Pietro ; della Rocca, Francesca.
    In: Land.
    RePEc:gam:jlands:v:11:y:2022:i:4:p:567-:d:791929.

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67. The differential impacts of social deprivation and social fragmentation on suicides: A lesson from Hong Kong. (2022). Fai, Paul Siu ; Caine, Eric D ; Men, Yu Vera ; Yeung, Cheuk Yui.
    In: Social Science & Medicine.
    RePEc:eee:socmed:v:315:y:2022:i:c:s0277953622008309.

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68. Spatial dependence in microfinance credit default. (2022). Shi, Baofeng ; Dong, Yizhe ; Calabrese, Raffaella ; Medina-Olivares, Victor.
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:38:y:2022:i:3:p:1071-1085.

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69. Insights on biodiversity drivers to predict species richness in tropical forests at the local scale. (2022). Loza, Isabel M ; Gomez-Rubio, Virgilio ; Tello, Sebastian J ; Fuentes, Alfredo F ; Mateo, Ruben G ; Arellano, Gabriel ; Macia, Manuel J ; Cala, Victoria ; Cayola, Leslie.
    In: Ecological Modelling.
    RePEc:eee:ecomod:v:473:y:2022:i:c:s0304380022002344.

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70. Grasshoppers exhibit asynchrony and spatial non-stationarity in response to the El Niño/Southern and Pacific Decadal Oscillations. (2022). Hudson, Amy R ; Branson, David H ; Lawton, Douglas ; Srygley, Robert B ; Humphreys, John M.
    In: Ecological Modelling.
    RePEc:eee:ecomod:v:471:y:2022:i:c:s0304380022001533.

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71. Comparing distribution of harbour porpoise using generalized additive models and hierarchical Bayesian models with integrated nested laplace approximation. (2022). Brookes, Kate L ; Miller, Peter I ; Illian, Janine B ; Laxton, Megan ; Scott, Beth E ; Williamson, Laura D.
    In: Ecological Modelling.
    RePEc:eee:ecomod:v:470:y:2022:i:c:s0304380022001223.

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72. Bayesian multiresolution modeling of georeferenced data: An extension of ‘LatticeKrig’. (2022). Wakefield, Jon ; Riebler, Andrea ; Fuglstad, Geir-Arne ; Paige, John.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:173:y:2022:i:c:s0167947322000834.

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73. Identifying crime generators and spatially overlapping high?risk areas through a nonlinear model: A comparison between three cities of the Valencian region (Spain). (2022). Montes, Francisco ; Mateu, Jorge ; Brizredon, Alvaro.
    In: Statistica Neerlandica.
    RePEc:bla:stanee:v:76:y:2022:i:1:p:97-120.

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74. Large spatial data modeling and analysis: A Krylov subspace approach. (2022). Zhu, Jun ; Chu, Tingjin ; Liu, Jialuo ; Wang, Haonan.
    In: Scandinavian Journal of Statistics.
    RePEc:bla:scjsta:v:49:y:2022:i:3:p:1115-1143.

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75. Who owns the pipes? Utility ownership, infrastructure conditions, and methane emissions in United States natural gas distribution. (2022). Greer, Robert A ; Scott, Tyler A.
    In: Review of Policy Research.
    RePEc:bla:revpol:v:39:y:2022:i:2:p:170-198.

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76. Bayesian imputation of COVID?19 positive test counts for nowcasting under reporting lag. (2022). Hetherington, James ; Lomax, James ; Jersakova, Radka ; Holmes, Chris ; Briers, Mark ; Nicholson, George ; Lehmann, Brieuc.
    In: Journal of the Royal Statistical Society Series C.
    RePEc:bla:jorssc:v:71:y:2022:i:4:p:834-860.

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77. Daily mortality/morbidity and air quality: Using multivariate time series with seasonally varying covariances. (2022). Shin, Hwashin Hyun ; Fu, Sze Hang ; Brown, Patrick E ; Huang, Guowen.
    In: Journal of the Royal Statistical Society Series C.
    RePEc:bla:jorssc:v:71:y:2022:i:1:p:148-174.

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78. The Helsinki bike?sharing system—Insights gained from a spatiotemporal functional model. (2022). Alkhatib, Hamza ; Otto, Philipp ; Piter, Andreas.
    In: Journal of the Royal Statistical Society Series A.
    RePEc:bla:jorssa:v:185:y:2022:i:3:p:1294-1318.

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79. A downscaling approach to compare COVID?19 count data from databases aggregated at different spatial scales. (2022). Liu, Baoli ; Lin, Ying ; Illian, Janine B ; Blangiardo, Marta ; Bender, Andreas ; Python, Andre ; Yin, Jianwei ; Svanidze, Davit ; Wen, Yingying ; Tan, Siwei.
    In: Journal of the Royal Statistical Society Series A.
    RePEc:bla:jorssa:v:185:y:2022:i:1:p:202-218.

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80. Temporal Models for Demographic and Global Health Outcomes in Multiple Populations: Introducing a New Framework to Review and Standardise Documentation of Model Assumptions and Facilitate Model Compar. (2022). Alkema, Leontine ; Susmann, Herbert ; Alexander, Monica.
    In: International Statistical Review.
    RePEc:bla:istatr:v:90:y:2022:i:3:p:437-467.

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81. Modelling Excess Zeros in Count Data: A New Perspective on Modelling Approaches. (2022). Hinde, John ; Parnell, Andrew C ; Haslett, John ; de Andrade, Rafael.
    In: International Statistical Review.
    RePEc:bla:istatr:v:90:y:2022:i:2:p:216-236.

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82. Discussion on “Spatial+: A novel approach to spatial confounding” by Emiko Dupont, Simon N. Wood, and Nicole H. Augustin. (2022). Kneib, Thomas ; Marques, Isa.
    In: Biometrics.
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83. Social interaction and geographic diffusion of iron?biofortified beans in Rwanda. (2022). Benson, Todd ; Baiocchi, Giovanni ; Sedano, Fernando ; Sun, Laixiang ; Funes, Jose .
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84. Bayesian Forecasting in the 21st Century: A Modern Review. (2022). Koop, Gary ; Huber, Florian ; Loaiza-Maya, Ruben ; Maneesoonthorn, Worapree ; Frazier, David T ; Martin, Gael M ; Panagiotelis, Anastasios ; Nibbering, Didier ; Maheu, John .
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85. Modeling Multivariate Positive-Valued Time Series Using R-INLA. (2022). Basu, Sumanta ; Ravishanker, Nalini ; Dutta, Chiranjit.
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86. Penalty parameter selection and asymmetry corrections to Laplace approximations in Bayesian P-splines models. (2022). Gressani, Oswaldo ; Lambert, Philippe.
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131. Spatiotemporal clustering using Gaussian processes embedded in a mixture model. (2021). Hosack, Geoffrey R ; Foster, Scott D ; Vanhatalo, Jarno.
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132. High?dimensional multivariate geostatistics: A Bayesian matrix?normal approach. (2021). Finley, Andrew O ; Banerjee, Sudipto ; Zhang, LU.
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133. Bayesian prediction of spatial data with non-ignorable missingness. (2021). Mohammadzadeh, Mohsen ; Zahmatkesh, Samira.
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134. Competition on Spatial Statistics for Large Datasets. (2021). Ltaief, Hatem ; Sun, Ying ; Abdulah, Sameh ; Huang, Huang ; Genton, Marc G ; Keyes, David E.
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135. MSPOCK: Alleviating Spatial Confounding in Multivariate Disease Mapping Models. (2021). Bandyopadhyay, Dipankar ; Prates, Marcos O ; Douglas, .
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136. How does the community COVID-19 level of risk impact on that of a care home?. (2021). Laxton, Megan ; Nightingale, Glenna ; Illian, Janine B.
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137. Spatial pattern of COVID-19 deaths and infections in small areas of Brazil. (2021). Gayawan, Ezra ; Campos, Everton Emanuel ; Queiroz, Bernardo Lanza ; Baptista, Emerson Augusto.
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138. Inequalities of visceral leishmaniasis case-fatality in Brazil: A multilevel modeling considering space, time, individual and contextual factors. (2021). Simes, Taynna Cesar ; Schernhammer, Eva ; Erber, Astrid Christine ; Cota, Glaucia.
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139. Mobility and phone call behavior explain patterns in poverty at high-resolution across multiple settings. (2021). Sundsoy, Pl R ; Oconnor, Siobhan B ; Zu, Elisabeth ; Brooks, Christopher J ; Albert, Maximilian ; Tatem, Andrew J ; Pezzulo, Carla ; Silpakar, Pradeep ; Steele, Jessica E ; Nyachhyon, Rajesh Lal ; Graupe, Bonita ; Nilsen, Kristine ; Engo-Monsen, Kenth.
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     Full description at Econpapers || Download Mapping out-of-school adolescents and youths in low- and middle-income countries. (2021). Christensen, A ; Omar, B ; Tatem, A J ; Pezzulo, C ; Alegana, V A.
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140. Approximating Bayes in the 21st Century. (2021). Robert, Christian P ; Frazier, David T ; Martin, Gael M.
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141. A Comprehensive Study of Spatiotemporal Variations in Temperature Extremes across China during 1960–2018. (2021). Chen, Mingxing ; Zhao, NA.
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142. Understanding the Spatiotemporal Pattern of Crimes in Changchun, China: A Bayesian Modeling Approach. (2021). Xiu, Chunliang ; Song, Wei ; Liu, Daqian ; Xu, Jun.
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     RePEc:gam:jsusta:v:13:y:2021:i:19:p:10500-:d:640432.

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143. Hospital Emergency Room Savings via Health Line S24 in Portugal. (2021). Natario, Isabel ; Gomes, Sergio ; Simes, Paula.
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144. A principled distance-based prior for the shape of the Weibull model. (2021). Rue, H ; Bakka, H ; van Niekerk, J.
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145. Community vulnerability and mobility: What matters most in spatio-temporal modeling of the COVID-19 pandemic?. (2021). Prentice, Christopher R ; Carroll, Rachel.
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146. Community-level factors and incidence of gun violence in the United States, 2014–2017. (2021). Sisti, Anthony ; Johnson, Blair T ; Matos, Michaela ; Acabchuk, Rebecca L ; Hennessy, Emily A ; Chen, Kun ; Bernstein, Mary.
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147. Which is the best-fit response variable for modelling the energy consumption of households? An analysis based on survey data. (2021). Juan, Pablo ; Jorge-Ortiz, Andrea ; Bovea, Maria D ; Braulio-Gonzalo, Marta.
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148. Effects of a mobile disturbance pattern on dynamic patch networks and metapopulation persistence. (2021). Ovaskainen, Otso ; de Knegt, Henrik ; Fabritius, Henna.
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149. Club convergence in European housing prices: The role of macroeconomic and housing market fundamentals. (2021). Ordóñez, Javier ; Ordoez, Javier ; Morley, Bruce ; Monfort, Mercedes ; Maynou, Laia.
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150. Fast and scalable computations for Gaussian hierarchical models with intrinsic conditional autoregressive spatial random effects. (2021). Franck, Christopher T ; Porter, Erica M.
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151. Fast Bayesian inference using Laplace approximations in nonparametric double additive location-scale models with right- and interval-censored data. (2021). Lambert, Philippe.
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152. Combining heterogeneous spatial datasets with process-based spatial fusion models: A unifying framework. (2021). Furrer, Reinhard ; Wang, Craig.
     In: Computational Statistics & Data Analysis.
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153. A novel method of marginalisation using low discrepancy sequences for integrated nested Laplace approximations. (2021). Rue, Hvard ; Joe, Stephen ; Joshi, Chaitanya ; Brown, Paul T.
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154. Laplace approximations for fast Bayesian inference in generalized additive models based on P-splines. (2021). Lambert, Philippe ; Gressani, Oswaldo.
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155. Vecchia–Laplace approximations of generalized Gaussian processes for big non-Gaussian spatial data. (2021). Katzfuss, Matthias ; Zilber, Daniel.
     In: Computational Statistics & Data Analysis.
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156. Integrated nested Laplace approximations for threshold stochastic volatility models. (2021). Rue, Havard ; Lopes, Maria Helena ; de Zea, P ; Marin, Juan Miguel.
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157. Algorithmically deconstructing shot locations as a method for shot quality in hockey. (2021). Charmaine, Dean ; Douglas, Woolford ; Devan, Becker.
     In: Journal of Quantitative Analysis in Sports.
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158. Macroeconomic Forecasting with Large Stochastic Volatility in Mean VARs. (2021). Koop, Gary ; Hou, Chenghan ; Cross, Jamie L.
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159. Robust estimation for discrete?time state space models. (2021). Xu, Ximing ; Flemming, Joanna Mills ; Kunsch, Hans R ; Field, Chris ; Cantoni, Eva ; Aeberhard, William H.
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160. Modeling unobserved heterogeneity in hedonic price models. (2021). van De, Alex ; Francke, Marc.
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161. Bayesian spatiotemporal forecasting and mapping of COVID?19 risk with application to West Java Province, Indonesia. (2021). Folmer, Henk ; Nyoman, Gede I.
     In: Journal of Regional Science.
     RePEc:bla:jregsc:v:61:y:2021:i:4:p:849-881.

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162. Approximate Laplace approximations for scalable model selection. (2021). Bhattacharya, Anirban ; Abril, Oriol ; Rossell, David.
     In: Journal of the Royal Statistical Society Series B.
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163. Nonparametric density estimation over complicated domains. (2021). Finos, Livio ; Arnone, Eleonora ; Ferraccioli, Federico ; Sangalli, Laura M ; Ramsay, James O.
     In: Journal of the Royal Statistical Society Series B.
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164. Use of model reparametrization to improve variational Bayes. (2021). , Linda.
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165. Functional ANOVA modelling of pedestrian counts on streets in three European cities. (2021). Pont, Meta Berghauser ; Verendel, Vilhelm ; Bolin, David ; Hkansson, Erik ; Ivarsson, Oscar ; Stavroulaki, Ioanna.
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166. Approximate Bayesian inference for case?crossover models. (2021). Stafford, Jamie ; Brown, Patrick ; Stringer, Alex.
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167. Spatial regression and spillover effects in cluster randomized trials with count outcomes. (2021). Alexander, Neal ; Anayaizquierdo, Karim.
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168. Book review of “Disease mapping: From foundations to multidimensional modeling”. (2021). Gomezrubio, Virgilio.
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169. Can we imitate stock price behavior to reinforcement learn option price?. (2021). Jin, Xin.
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181. Stakeholder involvement in collaborative regulatory processes: Using automated coding to track attendance and actions. (2020). Scott, Ryan P ; Ulibarri, Nicola.
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182. Space‐time autoregressive estimation and prediction with missing data based on Kalman filtering. (2020). Porcu, Emilio ; Mateu, Jorge ; Lagosalvarez, Bernado ; Padilla, Leonardo.
     In: Environmetrics.
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183. Bayesian spatial extreme value analysis of maximum temperatures in County Dublin, Ireland. (2020). O'Sullivan, John ; Parnell, Andrew C ; Sweeney, Conor.
     In: Environmetrics.
     RePEc:wly:envmet:v:31:y:2020:i:5:n:e2621.

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184. Predicting extreme surges from sparse data using a copula‐based hierarchical Bayesian spatial model. (2020). Beck, N ; Mailhot, M ; Jalbert, J ; Genest, C.
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185. Spatiotemporal reconstructions of global CO2‐fluxes using Gaussian Markov random fields. (2020). Lindstrom, Johan ; Dahlen, Unn ; Scholze, Marko.
     In: Environmetrics.
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186. Bayesian spatial analysis of hardwood tree counts in forests via MCMC. (2020). Brown, Patrick E ; Entezari, Reihaneh ; Rosenthal, Jeffrey S.
     In: Environmetrics.
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187. Approximate Bayesian inference for mixture cure models. (2020). Gomez-Rubio, V ; Armero, C ; Lazaro, E.
     In: TEST: An Official Journal of the Spanish Society of Statistics and Operations Research.
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188. Inference and computation with generalized additive models and their extensions. (2020). Wood, Simon N.
     In: TEST: An Official Journal of the Spanish Society of Statistics and Operations Research.
     RePEc:spr:testjl:v:29:y:2020:i:2:d:10.1007_s11749-020-00711-5.

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189. PC priors for residual correlation parameters in one-factor mixed models. (2020). Laini, Alex ; Burgazzi, Gemma ; Cocchi, Daniela ; Ventrucci, Massimo .
     In: Statistical Methods & Applications.
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190. Predicting the success of entrepreneurial campaigns in crowdfunding: a spatio-temporal approach. (2020). Huang, Hong ; Yu, Han ; Woods, Clinton.
     In: Journal of Innovation and Entrepreneurship.
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191. Understanding the Stochastic Partial Differential Equation Approach to Smoothing. (2020). Seaton, Andrew E ; Glennie, Richard ; Miller, David L.
     In: Journal of Agricultural, Biological and Environmental Statistics.
     RePEc:spr:jagbes:v:25:y:2020:i:1:d:10.1007_s13253-019-00377-z.

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192. Time, space and hedonic prediction accuracy: evidence from Corsican apartment markets. (2020). Ling, Yuheng.
     In: The Annals of Regional Science.
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193. Bayesian Generalized Linear Mixed Effects Models Using Normal-Independent Distributions: Formulation and Applications. (2020). Yahya, Waheed Babatunde ; Adeniyi, Isaac Adeola.
     In: MPRA Paper.
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194. A simulation framework for bio-inspired sonar sensing with Unmanned Aerial Vehicles. (2020). Wu, Xiaowei ; Tanveer, Hassan M ; Zhu, Hongxiao ; Tokekar, Pratap ; Muller, Rolf ; Ming, Chen ; Thomas, Antony.
     In: PLOS ONE.
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195. Effect of socioeconomic inequalities and contextual factors on induced abortion in Ghana: A Bayesian multilevel analysis. (2020). Potter, Lloyd ; Nyarko, Samuel H.
     In: PLOS ONE.
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196. Geographical variations in cancer mortality and social inequalities in southern Spain (Andalusia). 2002-2013. (2020). Cordoba-Doa, Juan Antonio ; Santos-Sanchez, Vanessa ; Ramis, Rebeca ; Pozzi, Lucia ; Escolar-Pujolar, Antonio ; Viciana, Francisco.
     In: PLOS ONE.
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197. SimSurvey: An R package for comparing the design and analysis of surveys by simulating spatially-correlated populations. (2020). Mowbray, Fran ; Healey, Brian ; Babyn, Jonathan ; Lewis, Keith P ; Robertson, Gregory J ; Regular, Paul M.
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198. Spatial spillover analysis of a cluster-randomized trial against dengue vectors in Trujillo, Venezuela. (2020). Anaya-Izquierdo, Karim ; Lenhart, Audrey ; Alexander, Neal.
     In: PLOS Neglected Tropical Diseases.
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199. Computing Bayes: Bayesian Computation from 1763 to the 21st Century. (2020). Robert, Christian P ; Frazier, David T ; Martin, Gael M.
     In: Monash Econometrics and Business Statistics Working Papers.
     RePEc:msh:ebswps:2020-14.

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200. Uncovering a positive and negative spatial autocorrelation mixture pattern: a spatial analysis of breast cancer incidences in Broward County, Florida, 2000–2010. (2020). Griffith, Daniel A ; Chun, Yongwan.
     In: Journal of Geographical Systems.
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201. Bayesian spatiotemporal mapping of relative dengue disease risk in Bandung, Indonesia. (2020). Folmer, Henk ; Nyoman, Gede I.
     In: Journal of Geographical Systems.
     RePEc:kap:jgeosy:v:22:y:2020:i:1:d:10.1007_s10109-019-00311-4.

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202. NEET rates convergence in Europe: A regional analysis. (2020). Ordoez, Javier ; Silva, Jose Ignacio ; Maynou, Laia.
     In: Working Papers.
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203. House price convergence Across Europe. (2020). Ordoez, Javier ; Monfort, Mercedes ; Morley, Bruce ; Maynou, Laia.
     In: Working Papers.
     RePEc:jau:wpaper:2020/07.

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204. Geographical variations in mortality and unemployment in Italy. (2020). Gonano, Giovanna ; Breschi, Marco ; Pozzi, Lucia ; Ruiu, Gabriele ; Sanchez, Vanessa Santos.
     In: RIEDS - Rivista Italiana di Economia, Demografia e Statistica - Italian Review of Economics, Demography and Statistics.
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205. Complete Volume LXXIV n. 1 2020. (2020). , Sieds.
     In: RIEDS - Rivista Italiana di Economia, Demografia e Statistica - Italian Review of Economics, Demography and Statistics.
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206. Digital Competence of Future Secondary School Teachers: Differences According to Gender, Age, and Branch of Knowledge. (2020). Torres-Soto, Ana ; Gonzalez-Calatayud, Victor ; Jimenez-Hernandez, David ; Morales, Javier ; Mayoral, Asuncion Martinez.
     In: Sustainability.
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207. Discovering Spatio-Temporal Clusters of Road Collisions Using the Method of Fast Bayesian Model-Based Cluster Detection. (2020). Yuan, KE ; Wang, YU ; Sun, Yeran ; Huang, Ying ; On, Ting.
     In: Sustainability.
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208. Tornado Occurrences in the United States: A Spatio-Temporal Point Process Approach. (2020). Laurini, Márcio ; Valente, Fernanda.
     In: Econometrics.
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209. Bayesian Model Averaging with the Integrated Nested Laplace Approximation. (2020). Bivand, Roger ; Rue, Hvard ; Gomez-Rubio, Virgilio.
     In: Econometrics.
     RePEc:gam:jecnmx:v:8:y:2020:i:2:p:23-:d:365956.

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210. Deviance information criterion for latent variable models and misspecified models. (2020). Yu, Jun ; Zeng, Tao ; Li, Yong.
     In: Journal of Econometrics.
     RePEc:eee:econom:v:216:y:2020:i:2:p:450-493.

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211. Insights on integrating habitat preferences in process-oriented ecological models – a case study of the southern North Sea. (2020). Steenbeek, Jeroen ; Nuez-Riboni, Ismael ; Taylor, Marc ; Puts, Miriam ; Kempf, Alexander ; Mollmann, Christian ; Stabler, Moritz.
     In: Ecological Modelling.
     RePEc:eee:ecomod:v:431:y:2020:i:c:s030438002030260x.

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212. Win-win: Improved irrigation management saves water and increases yield for robusta coffee farms in Vietnam. (2020). Stone, Roger ; Scobie, Michael ; Rafiei, Vahid ; Mushtaq, Shahbaz ; Kath, Jarrod ; Kouadio, Louis ; Byrareddy, Vivekananda.
     In: Agricultural Water Management.
     RePEc:eee:agiwat:v:241:y:2020:i:c:s0378377419312983.

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213. Modeling the bias of digital data: an approach to combining digital and survey data to estimate and predict migration trends. (2020). Zagheni, Emilio ; Wakefield, Jonathan ; Fiorio, Lee ; Hsiao, Yuan.
     In: MPIDR Working Papers.
     RePEc:dem:wpaper:wp-2020-019.

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214. Covid-19 across European Regions: the Role of Border Controls. (2020). Wolf, Nikolaus ; Kappner, Kalle ; Eckardt, Matthias.
     In: CEPR Discussion Papers.
     RePEc:cpr:ceprdp:15178.

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215. Covid-19 across European Regions: the Role of Border Controls. (2020). Wolf, Nikolaus ; Kappner, Kalle ; Eckardt, Matthias.
     In: CAGE Online Working Paper Series.
     RePEc:cge:wacage:507.

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216. Identification of structural vector autoregressions by stochastic volatility. (2020). Braun, Robin ; Bertsche, Dominik.
     In: Bank of England working papers.
     RePEc:boe:boeewp:0869.

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217. Importance sampling type estimators based on approximate marginal Markov chain Monte Carlo. (2020). Franks, Jordan ; Helske, Jouni ; Vihola, Matti.
     In: Scandinavian Journal of Statistics.
     RePEc:bla:scjsta:v:47:y:2020:i:4:p:1339-1376.

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218. A hierarchical mixed effect hurdle model for spatiotemporal count data and its application to identifying factors impacting health professional shortages. (2020). Lau, Timothy S ; Ghosal, Soutik ; Kong, Maiying ; Gaskins, Jeremy.
     In: Journal of the Royal Statistical Society Series C.
     RePEc:bla:jorssc:v:69:y:2020:i:5:p:1121-1144.

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219. Crime against women in India: unveiling spatial patterns and temporal trends of dowry deaths in the districts of Uttar Pradesh. (2020). Vicente, G ; Goicoa, T ; Fernandezrasines, P ; Ugarte, M D.
     In: Journal of the Royal Statistical Society Series A.
     RePEc:bla:jorssa:v:183:y:2020:i:2:p:655-679.

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220. Small Area Estimation for Disease Prevalence Mapping. (2020). Pedersen, Jon ; Okonek, Taylor ; Wakefield, Jonathan.
     In: International Statistical Review.
     RePEc:bla:istatr:v:88:y:2020:i:2:p:398-418.

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221. Combining Opinions for Use in Bayesian Networks: A Measurement Error Approach. (2020). Simpson, Daniel ; Ruggeri, Fabrizio ; Mengersen, Kerrie ; Farr, Charisse A ; Yarlagadda, Prasad ; Wu, Paul .
     In: International Statistical Review.
     RePEc:bla:istatr:v:88:y:2020:i:2:p:335-353.

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222. The Laplace-P-spline methodology for fast approximate Bayesian inference in additive partial linear models. (2020). Lambert, Philippe ; Gressani, Oswaldo.
     In: LIDAM Discussion Papers ISBA.
     RePEc:aiz:louvad:2020020.

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223. .

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224. Correlates of Representation Errors in Internet Data Sources for Real Estate Market. (2019). Beręsewicz, Maciej ; Maciej, Bersewicz .
     In: Journal of Official Statistics.
     RePEc:vrs:offsta:v:35:y:2019:i:3:p:509-529:n:2.

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225. Comments on: Modular regression - a Lego system for building structured additive distributional regression models with tensor product interactions. (2019). Goicoa, T.
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     RePEc:spr:testjl:v:28:y:2019:i:1:d:10.1007_s11749-019-00633-x.

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226. NPBayes-fMRI: Non-parametric Bayesian General Linear Models for Single- and Multi-Subject fMRI Data. (2019). Guindani, Michele ; Kook, Jeong Hwan ; Vannucci, Marina ; Zhang, Linlin.
     In: Statistics in Biosciences.
     RePEc:spr:stabio:v:11:y:2019:i:1:d:10.1007_s12561-017-9205-0.

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227. Efficient Reconstructions of Common Era Climate via Integrated Nested Laplace Approximations. (2019). He, Wan ; Li, BO ; Emile-Geay, Julien ; Barboza, Luis A.
     In: Journal of Agricultural, Biological and Environmental Statistics.
     RePEc:spr:jagbes:v:24:y:2019:i:3:d:10.1007_s13253-019-00372-4.

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228. A Spliced Gamma-Generalized Pareto Model for Short-Term Extreme Wind Speed Probabilistic Forecasting. (2019). Rue, Hvard ; Huser, Raphael ; Castro-Camilo, Daniela.
     In: Journal of Agricultural, Biological and Environmental Statistics.
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229. Improved Return Level Estimation via a Weighted Likelihood, Latent Spatial Extremes Model. (2019). Cooley, Daniel S ; Hoeting, Jennifer A ; Fix, Miranda J ; Hewitt, Joshua.
     In: Journal of Agricultural, Biological and Environmental Statistics.
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230. A Case Study Competition Among Methods for Analyzing Large Spatial Data. (2019). Furrer, Reinhard ; Zammit-Mangion, Andrew ; Finley, Andrew O ; Sun, Furong ; Datta, Abhirup ; Nychka, Douglas W ; Heaton, Matthew J ; Lindgren, Finn ; Katzfuss, Matthias ; Hammerling, Dorit ; Gramacy, Robert B ; Gerber, Florian ; Guhaniyogi, Rajarshi ; Guinness, Joseph.
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     RePEc:spr:jagbes:v:24:y:2019:i:1:d:10.1007_s13253-018-00339-x.

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231. The effects of copayment in primary health care: evidence from a natural experiment. (2019). Saez, Marc ; Coll-De, Gabriel ; Maynou, Laia.
     In: The European Journal of Health Economics.
     RePEc:spr:eujhec:v:20:y:2019:i:8:d:10.1007_s10198-019-01089-4.

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232. The determinants of individual health care expenditures in the Italian region of Friuli Venezia Giulia: evidence from a hierarchical spatial model estimation. (2019). Rizzi, Laura ; Grassetti, Luca.
     In: Empirical Economics.
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233. Approximate large-scale Bayesian spatial modeling with application to quantitative magnetic resonance imaging. (2019). Elster, Clemens ; Wubbeler, Gerd ; Metzner, Selma.
     In: AStA Advances in Statistical Analysis.
     RePEc:spr:alstar:v:103:y:2019:i:3:d:10.1007_s10182-018-00334-0.

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234. Spatiotemporal analysis of historical records (2001–2012) on dengue fever in Vietnam and development of a statistical model for forecasting risk. (2019). Phu, Tran Dac ; Tu, Tran Anh ; Quyen, Nguyen Huu ; Phuc, Pham-Duc ; Nguyen-Viet, Hung ; Lindahl, Johanna ; Lee, Hu Suk ; Grace, Delia ; Bett, Bernard ; Nam, Vu Sinh ; Tan, Dang Quang.
     In: PLOS ONE.
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235. Evaluating health facility access using Bayesian spatial models and location analysis methods. (2019). arbia, giuseppe ; Mengersen, Kerrie L ; Peluso, Stefano ; Moccetti, Tiziano ; Auricchio, Angelo ; Clifford, Samuel ; Reinhold, Jost H ; Mira, Antonietta ; Tierney, Nicholas J.
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236. Household electricity access in Africa (2000–2013): Closing information gaps with model-based geostatistics. (2019). Bennett, Adam ; Gething, Peter W ; Midekisa, Alemayehu ; Savory, David J ; Andrade-Pacheco, Ricardo.
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237. The effects of oil supply shocks on the macroeconomy: a Proxy-FAVAR approachThe effects of oil supply shocks on the macroeconomy: a Proxy-FAVAR approach. (2019). Bertsche, Dominik.
     In: Working Paper Series of the Department of Economics, University of Konstanz.
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238. Hamiltonian Monte Carlo with Energy Conserving Subsampling. (2019). Kohn, Robert ; Quiroz, Matias ; Dang, Khue-Dung ; Villani, Mattias ; Tran, Minh-Ngoc.
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239. A Statistical Approach for Studying the Spatio-Temporal Distribution of Geolocated Tweets in Urban Environments. (2019). Torres-Sospedra, Joaquin ; Henriques, Roberto ; Santa, Fernando ; Pebesma, Edzer.
     In: Sustainability.
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240. Multivariate spatial meta kriging. (2019). Guhaniyogi, Rajarshi ; Banerjee, Sudipto.
     In: Statistics & Probability Letters.
     RePEc:eee:stapro:v:144:y:2019:i:c:p:3-8.

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241. Socioeconomic determinants of pediatric asthma emergency department visits under regional economic development in western New York. (2019). Bowen, Elizabeth ; Yoo, Eunhye ; Eum, Youngseob.
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     RePEc:eee:socmed:v:222:y:2019:i:c:p:133-144.

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242. Specialized governance and regional land-use outcomes: A spatial analysis of Florida community development districts. (2019). Scott, Tyler A ; Deslatte, Aaron ; Carter, David P.
     In: Land Use Policy.
     RePEc:eee:lauspo:v:83:y:2019:i:c:p:227-239.

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243. Investing in collaboration for safety: Assessing grants to states for oil and gas distribution pipeline safety program enhancement. (2019). Scott, Ryan P.
     In: Energy Policy.
     RePEc:eee:enepol:v:124:y:2019:i:c:p:332-345.

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244. Dynamic survival models with varying coefficients for credit risks.. (2019). Crook, Jonathan ; Djeundje, Viani Biatat.
     In: European Journal of Operational Research.
     RePEc:eee:ejores:v:275:y:2019:i:1:p:319-333.

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245. Importance sampling from posterior distributions using copula-like approximations. (2019). Tsionas, Mike ; Dellaportas, Petros.
     In: Journal of Econometrics.
     RePEc:eee:econom:v:210:y:2019:i:1:p:45-57.

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246. Looking for an optimal hierarchical approach for ecologically meaningful niche modelling. (2019). Gaston, Aitor ; Aroca-Fernandez, Maria Jose ; Mateo, Ruben G ; Garcia-Vias, Juan Ignacio ; Saura, Santiago ; Gomez-Rubio, Virgilio.
     In: Ecological Modelling.
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247. Dealing with physical barriers in bottlenose dolphin (Tursiops truncatus) distribution. (2019). Conesa, David ; Martinez-Minaya, Joaquin ; Pennino, Maria Grazia ; Bakka, Haakon.
     In: Ecological Modelling.
     RePEc:eee:ecomod:v:406:y:2019:i:c:p:44-49.

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248. Predicting marine species distributions: Complementarity of food-web and Bayesian hierarchical modelling approaches. (2019). Pennino, Grazia M ; Coll, M ; Bellido, J M ; Sole, J ; Steenbeek, J.
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249. Non-Gaussian VARMA model with stochastic volatility and applications in stock market bubbles. (2019). Liu, Xi-Hua ; Gong, Xiao-Li ; Zhuang, Xin-Tian ; Xiong, Xiong.
     In: Chaos, Solitons & Fractals.
     RePEc:eee:chsofr:v:121:y:2019:i:c:p:129-136.

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250. .

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251. Identification of Structural Vector Autoregressions by Stochastic Volatility. (2018). Braun, Robin ; Bertsche, Dominik.
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252. Collateral damages of the great crisis in Spain. A longitudinal health study. (2018). Lopez, Guillem ; Vidiella-Martin, J ; Saez, M.
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253. Comments on: Process modeling for slope and aspect with application to elevation data maps. (2018). Schliep, Erin M.
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254. Subsampling MCMC - an Introduction for the Survey Statistician. (2018). Villani, Mattias ; Kohn, Robert ; Quiroz, Matias ; Dang, Khue-Dung ; Tran, Minh-Ngoc.
     In: Sankhya A: The Indian Journal of Statistics.
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255. sppmix: Poisson point process modeling using normal mixture models. (2018). Chen, Jiaxun ; Micheas, Athanasios C.
     In: Computational Statistics.
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256. Estimation of spatial autoregressive models with measurement error for large data sets. (2018). Suesse, Thomas.
     In: Computational Statistics.
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257. Drink what you can pay for: Financing infrastructure in a fragmented water system. (2018). Greer, Robert A ; Moldogaziev, Tima ; Scott, Tyler A.
     In: Urban Studies.
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258. Integrated Deviance Information Criterion for Latent Variable Models. (2018). Yu, Jun ; Zeng, Tao ; JunYu, ; Li, Yong.
     In: Economics and Statistics Working Papers.
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259. Spatiotemporal diffusion of influenza A (H1N1): Starting point and risk factors. (2018). Nobre, Aline Araujo ; da Costa, Marcelo Ferreira ; Krainski, Elias Teixeira ; Codeo, Claudia Torres ; Carioca, Ana Carolina.
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260. Who is where at risk for Chronic Obstructive Pulmonary Disease? A spatial epidemiological analysis of health insurance claims for COPD in Northeastern Germany. (2018). Moskwyn, Marita ; Keste, Andrea ; Schweikart, Jurgen ; Maier, Werner ; Kauhl, Boris.
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261. Identification of Structural Vector Autoregressions by Stochastic Volatility. (2018). Braun, Robin ; Bertsche, Dominik.
     In: Working Paper Series of the Department of Economics, University of Konstanz.
     RePEc:knz:dpteco:1803.

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262. The Influence of Imports and Exports on the Evolution of Greenhouse Gas Emissions: The Case for the European Union. (2018). Saez, Marc ; Fabregat-Aibar, Laura ; Pie, Laia.
     In: Energies.
     RePEc:gam:jeners:v:11:y:2018:i:7:p:1644-:d:154111.

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263. Spatio-temporal modeling of destination choice behavior through the Bayesian hierarchical approach. (2018). Zhang, Shen ; Wang, Yinhai ; Qi, Yong ; Cheng, Shaowu ; Tang, Jinjun ; Liu, Xin.
     In: Physica A: Statistical Mechanics and its Applications.
     RePEc:eee:phsmap:v:512:y:2018:i:c:p:537-551.

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264. More buzz, more vibes: Impact of social media on concert distribution. (2018). Cho, Daegon ; Park, Jongwon ; Hwang, Youngdeok.
     In: Journal of Economic Behavior & Organization.
     RePEc:eee:jeborg:v:156:y:2018:i:c:p:103-113.

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265. Wald-based spatial scan statistics for cluster detection. (2018). Liu, Ying ; Zhang, Tonglin.
     In: Computational Statistics & Data Analysis.
     RePEc:eee:csdana:v:127:y:2018:i:c:p:298-310.

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266. Mode jumping MCMC for Bayesian variable selection in GLMM. (2018). Hubin, Aliaksandr ; Storvik, Geir .
     In: Computational Statistics & Data Analysis.
     RePEc:eee:csdana:v:127:y:2018:i:c:p:281-297.

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267. Sequential Bayesian inference for static parameters in dynamic state space models. (2018). Bhattacharya, Arnab ; Wilson, Simon P.
     In: Computational Statistics & Data Analysis.
     RePEc:eee:csdana:v:127:y:2018:i:c:p:187-203.

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268. Fast Bayesian inference using Laplace approximations in a flexible promotion time cure model based on P-splines. (2018). Gressani, Oswaldo ; Lambert, Philippe.
     In: Computational Statistics & Data Analysis.
     RePEc:eee:csdana:v:124:y:2018:i:c:p:151-167.

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269. A sparse linear algebra algorithm for fast computation of prediction variances with Gaussian Markov random fields. (2018). Zammit-Mangion, Andrew ; Rougier, Jonathan .
     In: Computational Statistics & Data Analysis.
     RePEc:eee:csdana:v:123:y:2018:i:c:p:116-130.

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270. Modeling volatility dynamics using non-Gaussian stochastic volatility model based on band matrix routine. (2018). Liu, Xi-Hua ; Gong, Xiao-Li ; Zhuang, Xin-Tian ; Xiong, Xiong.
     In: Chaos, Solitons & Fractals.
     RePEc:eee:chsofr:v:114:y:2018:i:c:p:193-201.

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271. International Transmission of Macroeconomic Uncertainty in Small Open Economies: An Empirical Approach. (2018). Cross, Jamie ; Poon, Aubrey ; Hou, Chenghan.
     In: Working Papers.
     RePEc:bny:wpaper:0070.

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272. A Bayesian GED-Gamma stochastic volatility model for return data: a marginal likelihood approach. (2018). Santos, T R.
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273. Generalized Additive Models for Gigadata: Modeling the U.K. Black Smoke Network Daily Data. (2017). Wood, Simon N ; Augustin, Nicole H ; Shaddick, Gavin ; Li, Zheyuan.
     In: Journal of the American Statistical Association.
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274. Comment. (2017). Wood, Simon N.
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     RePEc:taf:jnlasa:v:112:y:2017:i:517:p:164-166.

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275. Estimation and asymptotic covariance matrix for stochastic volatility models. (2017). Cavicchioli, Maddalena.
     In: Statistical Methods & Applications.
     RePEc:spr:stmapp:v:26:y:2017:i:3:d:10.1007_s10260-016-0373-8.

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276. Incorporating High-Dimensional Exposure Modelling into Studies of Air Pollution and Health. (2017). Shaddick, Gavin ; Liu, YI ; Zidek, James V.
     In: Statistics in Biosciences.
     RePEc:spr:stabio:v:9:y:2017:i:2:d:10.1007_s12561-016-9150-3.

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277. Bayesian Calibration of Blue Crab (Callinectes sapidus) Abundance Indices Based on Probability Surveys. (2017). Miller, Thomas ; Wilberg, Michael ; Nesslage, Genevieve ; Liang, Dong.
     In: Journal of Agricultural, Biological and Environmental Statistics.
     RePEc:spr:jagbes:v:22:y:2017:i:4:d:10.1007_s13253-017-0295-4.

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278. A comparison of variational approximations for fast inference in mixed logit models. (2017). Vandebroek, Martina ; Depraetere, Nicolas .
     In: Computational Statistics.
     RePEc:spr:compst:v:32:y:2017:i:1:d:10.1007_s00180-015-0638-y.

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279. A continuous spatio-temporal model for house prices in the USA. (2017). Laurini, Márcio.
     In: The Annals of Regional Science.
     RePEc:spr:anresc:v:58:y:2017:i:1:d:10.1007_s00168-016-0801-6.

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280. Measuring temporal trends in biodiversity. (2017). yuan, yun ; Marcon, E ; Buckland, S T.
     In: AStA Advances in Statistical Analysis.
     RePEc:spr:alstar:v:101:y:2017:i:4:d:10.1007_s10182-017-0308-1.

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281. Improving the usability of spatial point process methodology: an interdisciplinary dialogue between statistics and ecology. (2017). , David ; David, ; Illian, Janine B.
     In: AStA Advances in Statistical Analysis.
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282. The spatial pattern of premature mortality in Hong Kong: How does it relate to public housing?. (2017). Burdett, Ricky ; Yip, Paul ; Chang, Shu-Sen ; Kandt, Jens.
     In: Urban Studies.
     RePEc:sae:urbstu:v:54:y:2017:i:5:p:1211-1234.

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283. The spatial configuration of urban crime environments and statistical modeling. (2017). .
     In: Environment and Planning B.
     RePEc:sae:envirb:v:44:y:2017:i:4:p:647-667.

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284. Identification of Structural Vector Autoregressions by Stochastic Volatility. (2017). Braun, Robin ; Bertsche, Dominik.
     In: Working Paper Series of the Department of Economics, University of Konstanz.
     RePEc:knz:dpteco:1711.

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285. A spatial error model with continuous random effects and an application to growth convergence. (2017). Laurini, Márcio.
     In: Journal of Geographical Systems.
     RePEc:kap:jgeosy:v:19:y:2017:i:4:d:10.1007_s10109-017-0256-z.

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286. PrevMap: An R Package for Prevalence Mapping. (2017). Giorgi, Emanuele ; Diggle, Peter J.
     In: Journal of Statistical Software.
     RePEc:jss:jstsof:v:078:i08.

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287. spatsurv: An R Package for Bayesian Inference with Spatial Survival Models. (2017). Taylor, Benjamin M ; Rowlingson, Barry S.
     In: Journal of Statistical Software.
     RePEc:jss:jstsof:v:077:i04.

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288. A Spatial Econometric Analysis of the Calls to the Portuguese National Health Line. (2017). Aleixo, Sandra ; Carvalho, Lucilia M ; Simes, Paula ; Natario, Isabel ; Gomes, Sergio.
     In: Econometrics.
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289. The spatio-temporal dynamics of ethanol/gasoline price ratio in Brazil. (2017). Laurini, Márcio.
     In: Renewable and Sustainable Energy Reviews.
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290. A tall order: Small area mapping and modelling of adult height among Swiss male conscripts. (2017). Panczak, Radoslaw ; Staub, Kaspar ; Ruhli, Frank J ; Jones, Philip A ; Held, Leonhard ; Moser, Andre .
     In: Economics & Human Biology.
     RePEc:eee:ehbiol:v:26:y:2017:i:c:p:61-69.

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291. A Bayesian geostatistical approach to modeling global distributions of Lygodium microphyllum under projected climate warming. (2017). Elsner, James B ; Jagger, Thomas H ; Pau, Stephanie ; Humphreys, John M.
     In: Ecological Modelling.
     RePEc:eee:ecomod:v:363:y:2017:i:c:p:192-206.

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292. Accounting for the temporal variation of spatial effect improves inference and projection of population dynamics models. (2017). Zhao, Qing ; Fleming, Kathy ; Silverman, Emily ; Boomer, Scott G.
     In: Ecological Modelling.
     RePEc:eee:ecomod:v:360:y:2017:i:c:p:252-259.

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293. Bayesian spatial predictive models for data-poor fisheries. (2017). Rufener, Marie-Christine ; Lins, Jorge Eduardo ; Nobrega, Marcelo Francisco ; Kinas, Paul Gerhard .
     In: Ecological Modelling.
     RePEc:eee:ecomod:v:348:y:2017:i:c:p:125-134.

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294. The profit function system with output- and input-specific technical efficiency. (2017). Tsionas, Mike.
     In: Economics Letters.
     RePEc:eee:ecolet:v:151:y:2017:i:c:p:111-114.

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295. Developments of the total entropy utility function for the dual purpose of model discrimination and parameter estimation in Bayesian design. (2017). McGree, J M.
     In: Computational Statistics & Data Analysis.
     RePEc:eee:csdana:v:113:y:2017:i:c:p:207-225.

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296. Bayesian two-component measurement error modelling for survival analysis using INLA—A case study on cardiovascular disease mortality in Switzerland. (2017). Muff, Stefanie ; Held, Leonhard ; Braun, Julia ; Ott, Manuela .
     In: Computational Statistics & Data Analysis.
     RePEc:eee:csdana:v:113:y:2017:i:c:p:177-193.

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297. Fitting large-scale structured additive regression models using Krylov subspace methods. (2017). Schmidt, Paul ; Muhlau, Mark .
     In: Computational Statistics & Data Analysis.
     RePEc:eee:csdana:v:105:y:2017:i:c:p:59-75.

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298. Effects of a Government-Academic Partnership: Has the NSF-Census Bureau Research Network Helped Improve the U.S. Statistical System?. (2017). Weinberg, Daniel ; Vilhuber, Lars ; Shapiro, Matthew ; Levenstein, Margaret ; Abowd, John ; Holan, Scott H ; Folch, David C ; Wikle, Christopher K ; Cressie, Noel ; Belli, Robert F ; Spielman, Seth E ; Spencer, Bruce D ; Soh, Leen-Kiat ; Smyth, Jolene ; Reiter, Jerome P ; Olson, Kristen M.
     In: Working Papers.
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299. .

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300. Smoothing Parameter and Model Selection for General Smooth Models. (2016). Wood, Simon N ; Safken, Benjamin ; Pya, Natalya.
     In: Journal of the American Statistical Association.
     RePEc:taf:jnlasa:v:111:y:2016:i:516:p:1548-1563.

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301. Model-Based Geostatistics for Prevalence Mapping in Low-Resource Settings. (2016). Diggle, Peter J ; Giorgi, Emanuele.
     In: Journal of the American Statistical Association.
     RePEc:taf:jnlasa:v:111:y:2016:i:515:p:1096-1120.

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302. A Multiresolution Stochastic Process Model for Predicting Basketball Possession Outcomes. (2016). CERVONE, DANIEL ; Goldsberry, Kirk ; Bornn, Luke ; Damour, Alex.
     In: Journal of the American Statistical Association.
     RePEc:taf:jnlasa:v:111:y:2016:i:514:p:585-599.

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303. Non-parametric regression on compositional covariates using Bayesian P-splines. (2016). Bruno, Francesca ; Greco, Fedele ; Ventrucci, Massimo .
     In: Statistical Methods & Applications.
     RePEc:spr:stmapp:v:25:y:2016:i:1:p:75-88.

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304. Non-parametric regression on compositional covariates using Bayesian P-splines. (2016). Bruno, Francesca ; Ventrucci, Massimo ; Greco, Fedele .
     In: Statistical Methods & Applications.
     RePEc:spr:stmapp:v:25:y:2016:i:1:d:10.1007_s10260-015-0339-2.

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305. Epidemiological and Ecological Characterization of the EHEC O104:H4 Outbreak in Hamburg, Germany, 2011. (2016). Hegasy, Guido ; Kneib, Thomas ; Fell, Gerhard ; Baumgardt, Klaus ; Manitz, Juliane ; Tahden, Maike.
     In: PLOS ONE.
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306. Effects of the Financial Crisis on Psychotropic Drug Consumption in a Cohort from a Semi-Urban Region in Catalonia, Spain. (2016). Saez, Marc ; Coll-De, Gabriel ; Coll-Negre, Montserrat ; Barcelo, Maria A.
     In: PLOS ONE.
     RePEc:plo:pone00:0148594.

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307. Quantifying and Mitigating the Effect of Preferential Sampling on Phylodynamic Inference. (2016). Minin, Vladimir N ; Suchard, Marc A ; Bedford, Trevor ; Palacios, Julia A ; Karcher, Michael D.
     In: PLOS Computational Biology.
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308. Monitoring Count Time Series in R: Aberration Detection in Public Health Surveillance. (2016). Salmon, Maelle ; Hohle, Michael ; Schumacher, Dirk.
     In: Journal of Statistical Software.
     RePEc:jss:jstsof:v:070:i10.

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309. TMB: Automatic Differentiation and Laplace Approximation. (2016). Kristensen, Kasper ; Bell, Bradley M ; Skaug, Hans ; Berg, Casper W ; Nielsen, Anders .
     In: Journal of Statistical Software.
     RePEc:jss:jstsof:v:070:i05.

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310. Modelling the influence of biotic factors on species distribution patterns. (2016). Leach, Katie ; Reid, Neil ; Montgomery, Ian W.
     In: Ecological Modelling.
     RePEc:eee:ecomod:v:337:y:2016:i:c:p:96-106.

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311. Modelling latent trends from spatio-temporally grouped data using composite link mixed models. (2016). Lee, Dae-Jin ; Durban, Maria ; van De, Jan ; Ayma, Diego Armando .
     In: DES - Working Papers. Statistics and Econometrics. WS.
     RePEc:cte:wsrepe:23448.

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312. Fast Bayesian inference in semi-parametric P-spline cure survival models using Laplace approximations. (2016). Lambert, Philippe ; Gressani, Oswaldo.
     In: IBSA Discussion Papers (ISBA - Institute of Statistics, Biostatistics and Actuarial Sciences).
     RePEc:aiz:louvad:2016041.

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313. Bayesian spatial prediction of skew and censored data via a hybrid algorithm. (2015). Rivaz, Firoozeh ; Khaledi, Majid Jafari .
     In: Journal of Applied Statistics.
     RePEc:taf:japsta:v:42:y:2015:i:9:p:1993-2009.

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314. Likelihood analysis for a class of beta mixed models. (2015). Ribeiro, Paulo Justiniano ; Zeviani, Walmes Marques ; Bonat, Wagner Hugo .
     In: Journal of Applied Statistics.
     RePEc:taf:japsta:v:42:y:2015:i:2:p:252-266.

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315. Comparing and selecting spatial predictors using local criteria. (2015). Shi, Tao ; Cressie, Noel ; Bradley, Jonathan.
     In: TEST: An Official Journal of the Spanish Society of Statistics and Operations Research.
     RePEc:spr:testjl:v:24:y:2015:i:1:p:1-28.

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316. Health inequalities in the European Union: an empirical analysis of the dynamics of regional differences. (2015). López Casasnovas, Guillem ; Bacaria, Jordi ; Maynou, Laia ; Saez, Marc ; Lopez-Casasnovas, Guillem.
     In: The European Journal of Health Economics.
     RePEc:spr:eujhec:v:16:y:2015:i:5:p:543-559.

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317. Beyond location and dispersion models: The Generalized Structural Time Series Model with Applications. (2015). Voudouris, Vlasios ; Djennad, Abdelmajid ; Rigby, Robert ; Eilers, Paul ; Stasinopoulos, Dimitrios .
     In: MPRA Paper.
     RePEc:pra:mprapa:62807.

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318. Likelihood Evaluation of High-Dimensional Spatial Latent Gaussian Models with Non-Gaussian Response Variables. (2015). Richard, Jean-Franois .
     In: Working Paper.
     RePEc:pit:wpaper:5778.

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319. Structured Additive Regression Models: An R Interface to BayesX. (2015). Zeileis, Achim ; Lang, Stefan ; Kneib, Thomas ; Umlauf, Nikolaus ; Adler, Daniel .
     In: Journal of Statistical Software.
     RePEc:jss:jstsof:v:063:i21.

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320. Spatial Data Analysis with R-INLA with Some Extensions. (2015). Bivand, Roger ; Rue, Hvard ; Gomez-Rubio, Virgilio .
     In: Journal of Statistical Software.
     RePEc:jss:jstsof:v:063:i20.

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321. Bayesian Spatial Modelling with R-INLA. (2015). Lindgren, Finn ; Rue, Hvard.
     In: Journal of Statistical Software.
     RePEc:jss:jstsof:v:063:i19.

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322. Model-Based Geostatistics the Easy Way. (2015). Brown, Patrick E.
     In: Journal of Statistical Software.
     RePEc:jss:jstsof:v:063:i12.

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323. geoCount: An R Package for the Analysis of Geostatistical Count Data. (2015). Jing, Liang ; de Oliveira, Victor.
     In: Journal of Statistical Software.
     RePEc:jss:jstsof:v:063:i11.

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324. Parallelizing Gaussian Process Calculations in R. (2015). Paciorek, Christopher J ; Thomas, Rollin C ; Zhuo, Wei ; Lipshitz, Benjamin .
     In: Journal of Statistical Software.
     RePEc:jss:jstsof:v:063:i10.

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325. Bayesian Inference and Data Augmentation Schemes for Spatial, Spatiotemporal and Multivariate Log-Gaussian Cox Processes in R. (2015). Taylor, Benjamin M ; Diggle, Peter J ; Rowlingson, Barry S ; Davies, Tilman M.
     In: Journal of Statistical Software.
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326. The Stochastic Volatility in Mean Model with Time-Varying Parameters: An Application to Inflation Modeling. (2015). Chan, Joshua ; Joshua C. C. Chan, .
     In: CAMA Working Papers.
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327. Guidelines when estimating temporal changes in density dependent populations. (2015). Solbu, Erik Blystad ; Diserud, Ola Hvard ; Engen, Steinar.
     In: Ecological Modelling.
     RePEc:eee:ecomod:v:313:y:2015:i:c:p:355-376.

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328. Data augmentation and parameter expansion for independent or spatially correlated ordinal data. (2015). Schliep, Erin M. ; Hoeting, Jennifer A..
     In: Computational Statistics & Data Analysis.
     RePEc:eee:csdana:v:90:y:2015:i:c:p:1-14.

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329. A Monte Carlo approach to quantifying model error in Bayesian parameter estimation. (2015). Herbei, Radu ; White, Staci A..
     In: Computational Statistics & Data Analysis.
     RePEc:eee:csdana:v:83:y:2015:i:c:p:168-181.

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330. midasinla: midas goes bayesian via R-INLA. (2015). Dwamena, Ben.
     In: 2015 Stata Conference.
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331. Hierarchical Bayesian modeling of marked non-homogeneous Poisson processes with finite mixtures and inclusion of covariate information. (2014). Micheas, Athanasios Christou .
     In: Journal of Applied Statistics.
     RePEc:taf:japsta:v:41:y:2014:i:12:p:2596-2615.

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332. Bayesian scanning of spatial disease rates with integrated nested Laplace approximation (INLA). (2014). Bilancia, Massimo ; Demarinis, Giacomo .
     In: Statistical Methods & Applications.
     RePEc:spr:stmapp:v:23:y:2014:i:1:p:71-94.

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333. The sun-hurricane connection: Diagnosing the solar impacts on hurricane frequency over the North Atlantic basin using a space–time model. (2014). Jagger, Thomas ; Hodges, Robert ; Elsner, James .
     In: Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards.
     RePEc:spr:nathaz:v:73:y:2014:i:2:p:1063-1084.

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334. parallelMCMCcombine: An R Package for Bayesian Methods for Big Data and Analytics. (2014). Conlon, Erin M ; Miroshnikov, Alexey.
     In: PLOS ONE.
     RePEc:plo:pone00:0108425.

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335. Issues in Comparing Stochastic Volatility Models Using the Deviance Information Criterion. (2014). Grant, Angelia ; Chan, Joshua ; Joshua C. C. Chan, .
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     RePEc:een:camaaa:2014-51.

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336. Seal encounters at sea: A contemporary spatial approach using R-INLA. (2014). Carson, Stuart ; Flemming, Joanna Mills.
     In: Ecological Modelling.
     RePEc:eee:ecomod:v:291:y:2014:i:c:p:175-181.

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337. On the use of marginal posteriors in marginal likelihood estimation via importance sampling. (2014). Tsionas, Efthymios ; Perrakis, Konstantinos ; Ntzoufras, Ioannis.
     In: Computational Statistics & Data Analysis.
     RePEc:eee:csdana:v:77:y:2014:i:c:p:54-69.

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338. GPU accelerated MCMC for modeling terrorist activity. (2014). White, Gentry ; Porter, Michael D..
     In: Computational Statistics & Data Analysis.
     RePEc:eee:csdana:v:71:y:2014:i:c:p:643-651.

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339. Reversible jump MCMC for nonparametric drift estimation for diffusion processes. (2014). van der Meulen, Frank ; Schauer, Moritz ; van Zanten, Harry.
     In: Computational Statistics & Data Analysis.
     RePEc:eee:csdana:v:71:y:2014:i:c:p:615-632.

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340. Health convergence analysis of the EU regions: 1995 and 2009.. (2013). Pujolras, Laia Maynou .
     In: ERSA conference papers.
     RePEc:wiw:wiwrsa:ersa13p88.

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341. Discussing the “big n problem”. (2013). Lasinio, Giovanna Jona ; Jonalasinio, Giovanna ; Mastrantonio, Gianluca ; Pollice, Alessio.
     In: Statistical Methods & Applications.
     RePEc:spr:stmapp:v:22:y:2013:i:1:p:97-112.

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342. Parametric estimation of hidden stochastic model by contrast minimization and deconvolution. (2013). el Kolei, Salima.
     In: Metrika: International Journal for Theoretical and Applied Statistics.
     RePEc:spr:metrik:v:76:y:2013:i:8:p:1031-1081.

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343. Spatio-temporal modeling of particulate matter concentration through the SPDE approach. (2013). Cameletti, Michela ; Rue, Hvard ; Lindgren, Finn ; Simpson, Daniel.
     In: AStA Advances in Statistical Analysis.
     RePEc:spr:alstar:v:97:y:2013:i:2:p:109-131.

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344. Asymptotic Palm likelihood theory for stationary point processes. (2013). Prokeova, Michaela ; Jensen, Eva.
     In: Annals of the Institute of Statistical Mathematics.
     RePEc:spr:aistmt:v:65:y:2013:i:2:p:387-412.

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345. CARBayes: An R Package for Bayesian Spatial Modeling with Conditional Autoregressive Priors. (2013). Lee, Duncan .
     In: Journal of Statistical Software.
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346. Moving Average Stochastic Volatility Models with Application to Inflation Forecast. (2013). Chan, Joshua ; Joshua C. C. Chan, .
     In: CAMA Working Papers.
     RePEc:een:camaaa:2013-31.

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347. Moving average stochastic volatility models with application to inflation forecast. (2013). Chan, Joshua ; Chan, Joshua C. C., .
     In: Journal of Econometrics.
     RePEc:eee:econom:v:176:y:2013:i:2:p:162-172.

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348. Bayesian computing with INLA: New features. (2013). Simpson, Daniel ; Martins, Thiago G. ; Rue, Hvard ; Lindgren, Finn .
     In: Computational Statistics & Data Analysis.
     RePEc:eee:csdana:v:67:y:2013:i:c:p:68-83.

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349. Bayesian dynamic models for space–time point processes. (2013). Gamerman, Dani ; Martins, Thiago G. ; Paez, Marina S. ; Reis, Edna A..
     In: Computational Statistics & Data Analysis.
     RePEc:eee:csdana:v:60:y:2013:i:c:p:146-156.

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350. Bayesian Computational Tools. (2013). Robert, Christian P..
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351. A Hybrid Data Cloning Maximum Likelihood Estimator for Stochastic Volatility Models. (2013). Laurini, Márcio ; Poletti, Laurini Marcio .
     In: Journal of Time Series Econometrics.
     RePEc:bpj:jtsmet:v:5:y:2013:i:2:p:193-229:n:4.

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352. Density estimation and comparison with a penalized mixture approach. (2012). Schellhase, Christian ; Kauermann, Goran.
     In: Computational Statistics.
     RePEc:spr:compst:v:27:y:2012:i:4:p:757-777.

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353. Robust Deviance Information Criterion for Latent Variable Models. (2012). Yu, Jun ; Li, Yong ; JunYu, ; Zeng, Tao.
     In: Working Papers.
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354. Estimation in Non-Linear Non-Gaussian State Space Models with Precision-Based Methods. (2012). Strachan, Rodney.
     In: MPRA Paper.
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355. An Accessible Method for Implementing Hierarchical Models with Spatio-Temporal Abundance Data. (2012). Koons, David N ; Hooten, Mevin B ; Ross, Beth E.
     In: PLOS ONE.
     RePEc:plo:pone00:0049395.

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356. Multilevel structured additive regression. (2012). Harttgen, Kenneth ; Kneib, Thomas ; Lang, Stefan ; Wechselberger, Peter ; Umlauf, Nikolaus.
     In: Working Papers.
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357. Estimation of generalized linear latent variable models via fully exponential Laplace approximation. (2012). Cagnone, Silvia ; Bianconcini, Silvia .
     In: Journal of Multivariate Analysis.
     RePEc:eee:jmvana:v:112:y:2012:i:c:p:183-193.

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358. The HESSIAN method: Highly efficient simulation smoothing, in a nutshell. (2012). McCausland, William.
     In: Journal of Econometrics.
     RePEc:eee:econom:v:168:y:2012:i:2:p:189-206.

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359. Direct fitting of dynamic models using integrated nested Laplace approximations — INLA. (2012). Krainski, Elias T. ; Ruiz-Crdenas, Ramiro ; Rue, Hvard.
     In: Computational Statistics & Data Analysis.
     RePEc:eee:csdana:v:56:y:2012:i:6:p:1808-1828.

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360. Approximate Bayesian inference for large spatial datasets using predictive process models. (2012). Finley, Andrew O. ; Banerjee, Sudipto ; Eidsvik, JO ; Rue, Hvard.
     In: Computational Statistics & Data Analysis.
     RePEc:eee:csdana:v:56:y:2012:i:6:p:1362-1380.

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361. Data augmentation strategies for the Bayesian spatial probit regression model. (2012). Berrett, Candace ; Calder, Catherine A..
     In: Computational Statistics & Data Analysis.
     RePEc:eee:csdana:v:56:y:2012:i:3:p:478-490.

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362. Fitting general stochastic volatility models using Laplace accelerated sequential importance sampling. (2012). Kleppe, Tore ; Skaug, Hans Julius .
     In: Computational Statistics & Data Analysis.
     RePEc:eee:csdana:v:56:y:2012:i:11:p:3105-3119.

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363. Approximate Bayesian Computational methods. (2012). Robert, Christian P. ; Ryder, Robin ; Pudlo, Pierre ; Marin, Jean-Michel .
     In: Economics Papers from University Paris Dauphine.
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364. Moving Average Stochastic Volatility Models with Application to Inflation Forecast. (2012). Chan, Joshua ; Joshua C C Chan, ; Joshua C C Chan, .
     In: ANU Working Papers in Economics and Econometrics.
     RePEc:acb:cbeeco:2012-591.

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365. Industrial Location and Space: New Insights. (2011). Arauzo-Carod, Josep-Maria ; Solis, Daniel Liviano .
     In: Working Papers.
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366. A non-stationary spatial generalized linear mixed model approach for studying plant diversity. (2011). Majumdar, Anandamayee ; Walker, Jason ; Gries, Corinna .
     In: Journal of Applied Statistics.
     RePEc:taf:japsta:v:38:y:2011:i:9:p:1935-1950.

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367. A primer on disease mapping and ecological regression using $${\texttt{INLA}}$$. (2011). Held, Leonhard ; Schrodle, Birgit .
     In: Computational Statistics.
     RePEc:spr:compst:v:26:y:2011:i:2:p:241-258.

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368. State Space Models in R. (2011). Petris, Giovanni ; Petrone, Sonia.
     In: Journal of Statistical Software.
     RePEc:jss:jstsof:v:041:i04.

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369. Measuring the Effect of the Real Estate Bubble: a House Price Index for Bilbao. (2011). TUSELL-PALMER, Fernando ; Barcena Ruiz, Maria Jesus, ; Tusell Palmer, Fernando Jorge, ; Menendez, Patricia ; Palacios, Maria Blanca .
     In: BILTOKI.
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370. Bicycle commuting in Melbourne during the 2000s energy crisis: A semiparametric analysis of intraday volumes. (2011). Smith, Michael ; Kauermann, Gran .
     In: Transportation Research Part B: Methodological.
     RePEc:eee:transb:v:45:y:2011:i:10:p:1846-1862.

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371. Dynamic Bayesian beta models. (2011). da-Silva, C. Q. ; Correia, L. T. ; Migon, H. S..
     In: Computational Statistics & Data Analysis.
     RePEc:eee:csdana:v:55:y:2011:i:6:p:2074-2089.

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372. Approximate Bayesian inference in spatial GLMM with skew normal latent variables. (2011). Hosseini, Fatemeh ; Mohammadzadeh, Mohsen ; Eidsvik, JO.
     In: Computational Statistics & Data Analysis.
     RePEc:eee:csdana:v:55:y:2011:i:4:p:1791-1806.

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373. Bayesian inference for additive mixed quantile regression models. (2011). Rue, Hvard ; Yue, Yu Ryan .
     In: Computational Statistics & Data Analysis.
     RePEc:eee:csdana:v:55:y:2011:i:1:p:84-96.

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374. Grid based variational approximations. (2011). Ormerod, John T..
     In: Computational Statistics & Data Analysis.
     RePEc:eee:csdana:v:55:y:2011:i:1:p:45-56.

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375. Mapping electron density in the ionosphere: A principal component MCMC algorithm. (2011). Jennison, Christopher ; Hurn, Merrilee ; Khorsheed, Eman .
     In: Computational Statistics & Data Analysis.
     RePEc:eee:csdana:v:55:y:2011:i:1:p:338-352.

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376. A general science-based framework for dynamical spatio-temporal models. (2010). Hooten, Mevin ; Wikle, Christopher.
     In: TEST: An Official Journal of the Spanish Society of Statistics and Operations Research.
     RePEc:spr:testjl:v:19:y:2010:i:3:p:417-451.

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377. Quantifying Aggregated Uncertainty in Plasmodium falciparum Malaria Prevalence and Populations at Risk via Efficient Space-Time Geostatistical Joint Simulation. (2010). Hay, Simon I ; Patil, Anand P ; Gething, Peter W.
     In: PLOS Computational Biology.
     RePEc:plo:pcbi00:1000724.

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378. Data-driven neighborhood selection of a Gaussian field. (2010). Verzelen, Nicolas .
     In: Computational Statistics & Data Analysis.
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379. Bayesian multiscale feature detection of log-spectral densities. (2009). Rue, Hvard ; Sorbye, Sigrunn H. ; OLSEN, LENA R. ; Hindberg, Kristian .
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380. Posterior Predictive p-values in Bayesian Hierarchical Models. (2009). STORVIK, GEIR OLVE ; STEINBAKK, GUNNHILDUR HGNADTTIR .
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17. Bayesian inference for a skew-normal IRT model under the centred parameterization. (2011). Azevedo, Caio L. N., ; Bolfarine, Heleno ; Andrade, Dalton F..
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30. Diagnostics for skew-normal nonlinear regression models with AR(1) errors. (2009). Wei, Bo-Cheng ; Lin, Jin-Guan ; Xie, Feng-Chang .
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36. A note on scale mixtures of skew normal distribution. (2008). Kim, Hyoung-Moon .
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43. The fuzzy approach to statistical analysis. (2006). Kiers, Henk A. L., ; Coppi, Renato ; Gil, Maria A..
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44. A Bayesian approach to bandwidth selection for multivariate kernel density estimation. (2006). Zhang, Xibin ; King, Maxwell ; Hyndman, Rob.
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45. On fundamental skew distributions. (2005). Genton, Marc G. ; Arellano-Valle, Reinaldo B..
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46. Noncentral quadratic forms of the skew elliptical variables. (2005). Fang, B. Q..
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47. A skewed Kalman filter. (2005). Genton, Marc G. ; Shen, Xilin ; Naveau, Philippe.
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48. Relative Prices as Aggregate Supply Shocks with Trend Inflation. (2005). Demery, David ; Duck, Nigel W..
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49. On Describing Multivariate Skewness: A Directional Approach. (2004). Steel, Mark ; Ferreira, Jose.
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50. Bayesian Multivariate Regression Analysis with a New Class of Skewed Distributions. (2004). Steel, Mark ; Ferreira, Jose.
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51. Characterization of the skew-normal distribution. (2004). Nguyen, Truc ; Sanqui, Jose ; Gupta, Arjun.
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52. A class of multivariate skew-normal models. (2004). Chen, John ; Gupta, Arjun.
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54. A note on the estimation of the skew normal and the skew exponential power distributions. (2003). Monti, Anna Clara.
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56. Definition and probabilistic properties of skew-distributions. (2002). San Martin, E. ; Arellano-Valle, R. B. ; del Pino, G..
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57. Statistical implications of selectively reported inferential results. (2002). Loperfido, Nicola.
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58. Quadratic forms of skew-normal random vectors. (2001). Loperfido, Nicola.
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59. Moments of skew-normal random vectors and their quadratic forms. (2001). , Lihe ; Liu, Xiangwei ; Genton, Marc G. ; He, LI.
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