Johnathan M. Bardsley

Author

Also Known As

Bardsley, Johnathan, Bardsley, Johnathan M., Bardsley, Johnathan M. [University of Montana, Department of Mathematics]; Howard, Marylesa M. [National Security Technologies, LLC. (NSTec), Mercury, NV (United States)], J. Bardsley, J. M. Bardsley, Johnathan Bardsley, Johnathan M Bardsley, Johnathan M. Bardsley, Johnathan M. Bardsley†

Publications

1.4K

Citations

H-Index

Concepts

All Affiliations

University of Montana Lappeenranta-Lahti University of Technology Finnish Meteorological Institute Technical University of Denmark Emory University

About

Johnathan M. Bardsley is an author at University of Montana specializing in inverse problems, engineering, and image analysis.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	20	29	1.2K
2	Health Sciences	11	11	413
3	Public Health	5	5	252
4	Biostatistics	2	2	53
5	Natural Sciences	1	1	20

Johnathan M. Bardsley

Publications

1.2K

Citations

H-Index

Page 1

	Year	Citations
Randomize-Then-Optimize: A Method for Sampling from Posterior Distributions in Nonlinear Inverse Problems Johnathan M. Bardsley, Antti Solonen, Heikki Haario, SIAM Journal on Scientific Computing EngineeringMachine LearningData SciencePosterior DistributionUncertainty Quantification	2014	153
MCMC-Based Image Reconstruction with Uncertainty Quantification Johnathan M. Bardsley SIAM Journal on Scientific Computing Bayesian StatisticImage ReconstructionEngineeringMachine LearningBayesian Inference	2012	98
Regularization parameter selection methods for ill-posed Poisson maximum likelihood estimation Johnathan M. Bardsley, John Goldes Inverse Problems Image ReconstructionParameter EstimationEngineeringImage IntensityRegularization Parameter	2009	95
A Nonnegatively Constrained Convex Programming Method for Image Reconstruction Johnathan M. Bardsley, Curtis R. Vogel SIAM Journal on Scientific Computing Mathematical ProgrammingNumerical AnalysisImage ReconstructionEngineeringImage Analysis	2003	81
A computational method for the restoration of images with an unknown, spatially-varying blur Johnathan M. Bardsley, S. M. Jefferies, James G. Nagy, Optics Express EngineeringSpatially-varying BlurDeblurringImage AnalysisPattern Recognition	2006	80
Total variation-penalized Poisson likelihood estimation for ill-posed problems Johnathan M. Bardsley, Aaron Luttman Advances in Computational Mathematics Numerical AnalysisMathematical ProgrammingParameter EstimationEngineeringVariational Analysis	2008	68
Covariance-Preconditioned Iterative Methods for Nonnegatively Constrained Astronomical Imaging Johnathan M. Bardsley, James G. Nagy SIAM Journal on Matrix Analysis and Applications Numerical AnalysisImage ReconstructionEngineeringMachine LearningRandom Vector	2006	62
Analysis of the Gibbs Sampler for Hierarchical Inverse Problems Sergios Agapiou, Johnathan M. Bardsley, Omiros Papaspiliopoulos, SIAM/ASA Journal on Uncertainty Quantification Bayesian StatisticBayesian Decision TheoryEngineeringInfluence InferenceMarkov Chain Monte Carlo	2014	50
Tikhonov regularized Poisson likelihood estimation: theoretical justification and a computational method Johnathan M. Bardsley, N'Djekornom Dara Laobeul Inverse Problems in Science and Engineering Image ReconstructionParameter EstimationEngineeringImage AnalysisSignal Reconstruction	2008	37
Bayesian Inverse Problems with $l_1$ Priors: A Randomize-Then-Optimize Approach Zheng Wang, Johnathan M. Bardsley, Antti Solonen, SIAM Journal on Scientific Computing Bayesian StatisticBayesian Decision TheoryEngineeringBayesian Inverse ProblemsBayesian Inference	2017	36

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