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ORCIDAdrian E. Raftery
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2020 – today
- 2023
[j33]Peiran Liu, Hana Sevcikova, Adrian E. Raftery:
Probabilistic Estimation and Projection of the Annual Total Fertility Rate Accounting for Past Uncertainty: A Major Update of the bayesTFR R Package. J. Stat. Softw. 106(8) (2023)- 2022
- [i2]Bolun Liu, Shane Lubold, Adrian E. Raftery, Tyler H. McCormick:
Bayesian Hyperbolic Multidimensional Scaling. CoRR abs/2210.15081 (2022) - 2021
- [j32]Adrian E. Raftery, Hana Sevcikova, Bernard W. Silverman:
The vote Package: Single Transferable Vote and Other Electoral Systems in R. R J. 13(2): 590 (2021) - [i1]Adrian E. Raftery, Hana Sevcikova, Bernard W. Silverman:
The vote Package: Single Transferable Vote and Other Electoral Systems in R. CoRR abs/2102.05801 (2021)
2010 – 2019
- 2019
- [j31]Xiao Liang, William Chad Young, Ling-Hong Hung, Adrian E. Raftery, Ka Yee Yeung:
Integration of Multiple Data Sources for Gene Network Inference Using Genetic Perturbation Data. J. Comput. Biol. 26(10): 1113-1129 (2019) - 2018
- [j30]Belinda Hernández
, Adrian E. Raftery, Stephen R Pennington, Andrew C. Parnell:
Bayesian Additive Regression Trees using Bayesian model averaging. Stat. Comput. 28(4): 869-890 (2018) - [c1]Xiao Liang, William Chad Young, Ling-Hong Hung, Adrian E. Raftery, Ka Yee Yeung:
Integration of Multiple Data Sources for Gene Network Inference using Genetic Perturbation Data: Extended Abstract. BCB 2018: 601-602 - 2016
- [j29]Riccardo Rastelli, Nial Friel, Adrian E. Raftery:
Properties of latent variable network models. Netw. Sci. 4(4): 407-432 (2016) - [j28]Luca Scrucca, Michael Fop, Thomas Brendan Murphy, Adrian E. Raftery:
mclust 5: Clustering, Classification and Density Estimation Using Gaussian Finite Mixture Models. R J. 8(1): 289 (2016) - [j27]Adrian E. Raftery:
Use and communication of probabilistic forecasts. Stat. Anal. Data Min. 9(6): 397-410 (2016) - 2015
- [j26]Luca Scrucca, Adrian E. Raftery:
Improved initialisation of model-based clustering using Gaussian hierarchical partitions. Adv. Data Anal. Classif. 9(4): 447-460 (2015) - [j25]Maciej Fronczuk, Adrian E. Raftery, Ka Yee Yeung:
CyNetworkBMA: a Cytoscape app for inferring gene regulatory networks. Source Code Biol. Medicine 10: 11 (2015) - 2014
- [j24]William Chad Young, Adrian E. Raftery, Ka Yee Yeung:
Fast Bayesian inference for gene regulatory networks using ScanBMA. BMC Syst. Biol. 8: 47 (2014) - 2012
- [j23]Ka Yee Yeung, T. A. Gooley, A. Zhang, Adrian E. Raftery, J. P. Radich, V. G. Oehler:
Predicting relapse prior to transplantation in chronic myeloid leukemia by integrating expert knowledge and expression data. Bioinform. 28(6): 823-830 (2012) - [j22]Kenneth Lo, Adrian E. Raftery, Kenneth M. Dombek, Jun Zhu, Eric E. Schadt, Roger Eugene Bumgarner, Ka Yee Yeung:
Integrating external biological knowledge in the construction of regulatory networks from time-series expression data. BMC Syst. Biol. 6: 101 (2012) - 2011
- [j21]Chris Fraley, Adrian E. Raftery, Tilmann Gneiting, McLean Sloughter, Veronica J. Berrocal:
Probabilistic Weather Forecasting in R. R J. 3(1): 55 (2011) - 2010
- [j20]Adrian E. Raftery, Miroslav Kárný, Pavel Ettler:
Online Prediction Under Model Uncertainty via Dynamic Model Averaging: Application to a Cold Rolling Mill. Technometrics 52(1): 52-66 (2010)
2000 – 2009
- 2009
- [j19]Amalia Annest, Roger Eugene Bumgarner, Adrian E. Raftery, Ka Yee Yeung:
Iterative Bayesian Model Averaging: a method for the application of survival analysis to high-dimensional microarray data. BMC Bioinform. 10 (2009) - [j18]Pavel N. Krivitsky, Mark S. Handcock, Adrian E. Raftery, Peter D. Hoff:
Representing degree distributions, clustering, and homophily in social networks with latent cluster random effects models. Soc. Networks 31(3): 204-213 (2009) - 2007
- [j17]Chris Fraley, Adrian E. Raftery:
Bayesian Regularization for Normal Mixture Estimation and Model-Based Clustering. J. Classif. 24(2): 155-181 (2007) - 2005
- [j16]Ka Yee Yeung, Roger Eugene Bumgarner, Adrian E. Raftery:
Bayesian model averaging: development of an improved multi-class, gene selection and classification tool for microarray data. Bioinform. 21(10): 2394-2402 (2005) - [j15]Qunhua Li, Chris Fraley, Roger Eugene Bumgarner, Ka Yee Yeung, Adrian E. Raftery:
Donuts, scratches and blanks: robust model-based segmentation of microarray images. Bioinform. 21(12): 2875-2882 (2005) - [j14]Nema Dean, Adrian E. Raftery:
Normal uniform mixture differential gene expression detection for cDNA microarrays. BMC Bioinform. 6: 173 (2005) - [j13]Fionn Murtagh, Adrian E. Raftery, Jean-Luc Starck:
Bayesian inference for multiband image segmentation via model-based cluster trees. Image Vis. Comput. 23(6): 587-596 (2005) - 2004
- [j12]Ron Wehrens, Lutgarde M. C. Buydens, Chris Fraley, Adrian E. Raftery:
Model-Based Clustering for Image Segmentation and Large Datasets via Sampling. J. Classif. 21(2): 231-253 (2004) - 2003
- [j11]Chris Fraley, Adrian E. Raftery:
Enhanced Model-Based Clustering, Density Estimation, and Discriminant Analysis Software: MCLUST. J. Classif. 20(2): 263-286 (2003) - 2002
- [j10]Derek C. Stanford, Adrian E. Raftery:
Approximate Bayes Factors for Image Segmentation: The Pseudolikelihood Information Criterion (PLIC). IEEE Trans. Pattern Anal. Mach. Intell. 24(11): 1517-1520 (2002) - [j9]Daniel Walsh, Adrian E. Raftery:
Accurate and efficient curve detection in images: the importance sampling Hough transform. Pattern Recognit. 35(7): 1421-1431 (2002) - [j8]Daniel Walsh, Adrian E. Raftery:
Detecting Mines in Minefields With Linear Characteristics. Technometrics 44(1): 34-44 (2002) - 2001
- [j7]Ka Yee Yeung, Chris Fraley, Alejandro Murua, Adrian E. Raftery, Walter L. Ruzzo:
Model-based clustering and data transformations for gene expression data. Bioinform. 17(10): 977-987 (2001) - 2000
- [j6]Derek C. Stanford, Adrian E. Raftery:
Finding Curvilinear Features in Spatial Point Patterns: Principal Curve Clustering with Noise. IEEE Trans. Pattern Anal. Mach. Intell. 22(6): 601-609 (2000)
1990 – 1999
- 1999
- [j5]Jonathan G. Campbell, Chris Fraley, Derek C. Stanford, Fionn Murtagh, Adrian E. Raftery:
Model-based methods for textile fault detection. Int. J. Imaging Syst. Technol. 10(4): 339-346 (1999) - 1998
- [j4]Chris Fraley, Adrian E. Raftery:
How Many Clusters? Which Clustering Method? Answers Via Model-Based Cluster Analysis. Comput. J. 41(8): 578-588 (1998) - 1997
- [j3]Jonathan G. Campbell, Chris Fraley, Fionn Murtagh, Adrian E. Raftery:
Linear flaw detection in woven textiles using model-based clustering. Pattern Recognit. Lett. 18(14): 1539-1548 (1997) - [j2]Halima Bensmail, Gilles Celeux, Adrian E. Raftery, Christian P. Robert:
Inference in model-based cluster analysis. Stat. Comput. 7(1): 1-10 (1997)
1980 – 1989
- 1984
- [j1]Fionn Murtagh, Adrian E. Raftery:
Fitting straight lines to point patterns. Pattern Recognit. 17(5): 479-483 (1984)
Coauthor Index
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