• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 25 matches

• 2022
• 
  Felipe Uribe, Johnathan M. Bardsley, Yiqiu Dong, Per Christian Hansen, Nicolai André Brogaard Riis:
  A Hybrid Gibbs Sampler for Edge-Preserving Tomographic Reconstruction with Uncertain View Angles. SIAM/ASA J. Uncertain. Quantification 10(1): 1293-1320 (2022)
• 2021
• 
  Johnathan M. Bardsley, Tiangang Cui:
  Optimization-Based Markov Chain Monte Carlo Methods for Nonlinear Hierarchical Statistical Inverse Problems. SIAM/ASA J. Uncertain. Quantification 9(1): 29-64 (2021)
• 
  Johnathan M. Bardsley, Marylesa Howard, Mark Lorang:
  Matlab Software for Supervised Habitat Mapping of Freshwater Systems Using Image Processing. Remote. Sens. 13(23): 4906 (2021)
• 2020
• 
  Johnathan M. Bardsley, Tiangang Cui, Youssef M. Marzouk, Zheng Wang:
  Scalable Optimization-Based Sampling on Function Space. SIAM J. Sci. Comput. 42(2): A1317-A1347 (2020)
• 
  Johnathan M. Bardsley, Per Christian Hansen:
  MCMC Algorithms for Computational UQ of Nonnegativity Constrained Linear Inverse Problems. SIAM J. Sci. Comput. 42(2): A1269-A1288 (2020)
• 
  Johnathan M. Bardsley, Tiangang Cui:
  Optimization-Based MCMC Methods for Nonlinear Hierarchical Statistical Inverse Problems. CoRR abs/2002.06358 (2020)
• 2019
• 
  Arvind K. Saibaba, Johnathan M. Bardsley, D. Andrew Brown, Alen Alexanderian:
  Efficient Marginalization-Based MCMC Methods for Hierarchical Bayesian Inverse Problems. SIAM/ASA J. Uncertain. Quantification 7(3): 1105-1131 (2019)
• 
  Matthias Chung, Mickaël Binois, Robert B. Gramacy, Johnathan M. Bardsley, David J. Moquin, Amanda P. Smith, Amber M. Smith:
  Parameter and Uncertainty Estimation for Dynamical Systems Using Surrogate Stochastic Processes. SIAM J. Sci. Comput. 41(4): A2212-A2238 (2019)
• 2018
• 
  Kevin T. Joyce, Johnathan M. Bardsley, Aaron Luttman:
  Point Spread Function Estimation in X-Ray Imaging with Partially Collapsed Gibbs Sampling. SIAM J. Sci. Comput. 40(3) (2018)
• 2017
• 
  Zheng Wang, Johnathan M. Bardsley, Antti Solonen, Tiangang Cui, Youssef M. Marzouk:
  Bayesian Inverse Problems with l₁ Priors: A Randomize-Then-Optimize Approach. SIAM J. Sci. Comput. 39(5) (2017)
• 2015
• 
  Johnathan M. Bardsley, Aku Seppänen, Antti Solonen, Heikki Haario, Jari P. Kaipio:
  Randomize-Then-Optimize for Sampling and Uncertainty Quantification in Electrical Impedance Tomography. SIAM/ASA J. Uncertain. Quantification 3(1): 1136-1158 (2015)
• 2014
• 
  Sergios Agapiou, Johnathan M. Bardsley, Omiros Papaspiliopoulos, Andrew M. Stuart:
  Analysis of the Gibbs Sampler for Hierarchical Inverse Problems. SIAM/ASA J. Uncertain. Quantification 2(1): 511-544 (2014)
• 
  Johnathan M. Bardsley, Antti Solonen, Heikki Haario, Marko Laine:
  Randomize-Then-Optimize: A Method for Sampling from Posterior Distributions in Nonlinear Inverse Problems. SIAM J. Sci. Comput. 36(4) (2014)
• 2013
• 
  Johnathan M. Bardsley, Albert Parker, Antti Solonen, Marylesa Howard:
  Krylov space approximate Kalman filtering. Numer. Linear Algebra Appl. 20(2): 171-184 (2013)
• 2012
• 
  Johnathan M. Bardsley:
  MCMC-Based Image Reconstruction with Uncertainty Quantification. SIAM J. Sci. Comput. 34(3) (2012)
• 2011
• 
  Johnathan M. Bardsley, Sarah Knepper, James G. Nagy:
  Structured linear algebra problems in adaptive optics imaging. Adv. Comput. Math. 35(2-4): 103-117 (2011)
• 
  Johnathan M. Bardsley, John Goldes:
  Regularization parameter selection and an efficient algorithm for total variation-regularized positron emission tomography. Numer. Algorithms 57(2): 255-271 (2011)
• 2010
• 
  Johnathan M. Bardsley, John Goldes:
  An Iterative Method for Edge-Preserving MAP Estimation When Data-Noise Is Poisson. SIAM J. Sci. Comput. 32(1): 171-185 (2010)
• 2009
• 
  Johnathan M. Bardsley, Aaron Luttman:
  Total variation-penalized Poisson likelihood estimation for ill-posed problems. Adv. Comput. Math. 31(1-3): 35-59 (2009)
• 2008
• 
  Johnathan M. Bardsley:
  Wavefront Reconstruction Methods for Adaptive Optics Systems on Ground-Based Telescopes. SIAM J. Matrix Anal. Appl. 30(1): 67-83 (2008)
• 
  Aaron Luttman, John Bardsley:
  Erratum: A Variational Approach to Video Segmentation for Botanical Data. SIAM J. Sci. Comput. 30(1): 548-548 (2008)
• 
  Johnathan M. Bardsley:
  An Efficient Phase and Object Estimation Scheme for Phase-Diversity Time Series Data. IEEE Trans. Image Process. 17(1): 9-15 (2008)
• 2007
• 
  Aaron Luttman, John Bardsley:
  A Variational Approach to Video Segmentation for Botanical Data. SIAM J. Sci. Comput. 29(4): 1550-1566 (2007)
• 2006
• 
  Johnathan M. Bardsley, James G. Nagy:
  Covariance-Preconditioned Iterative Methods for Nonnegatively Constrained Astronomical Imaging. SIAM J. Matrix Anal. Appl. 27(4): 1184-1197 (2006)
• 2004
• 
  Johnathan M. Bardsley, Curtis R. Vogel:
  A Nonnegatively Constrained Convex Programming Method for Image Reconstruction. SIAM J. Sci. Comput. 25(4): 1326-1343 (2004)