Johnathan M. Bardsley
Title
Cited by
Cited by
Year
Regularization parameter selection methods for ill-posed Poisson maximum likelihood estimation
JM Bardsley, J Goldes
Inverse Problems 25 (9), 095005, 2009
1092009
A nonnegatively constrained convex programming method for image reconstruction
JM Bardsley, CR Vogel
SIAM Journal on Scientific Computing 25 (4), 1326-1343, 2004
972004
Total variation-penalized Poisson likelihood estimation for ill-posed problems
JM Bardsley, A Luttman
Advances in Computational Mathematics 31 (1-3), 35, 2009
962009
Randomize-then-optimize: A method for sampling from posterior distributions in nonlinear inverse problems
JM Bardsley, A Solonen, H Haario, M Laine
SIAM Journal on Scientific Computing 36 (4), A1895-A1910, 2014
912014
MCMC-BASED IMAGE RECONSTRUCTION WITH UNCERTAINTY QUANTIFICATION
JM BARDSLEY
SIAM Journal on Scientific Computing 34 (3), A1316–A1332, 2012
902012
Covariance-preconditioned iterative methods for nonnegatively constrained astronomical imaging
JM Bardsley, JG Nagy
SIAM journal on matrix analysis and applications 27 (4), 1184-1197, 2006
862006
A computational method for the restoration of images with an unknown, spatially-varying blur
J Bardsley, S Jefferies, J Nagy, R Plemmons
Optics express 14 (5), 1767-1782, 2006
822006
Analysis of the Gibbs sampler for hierarchical inverse problems
S Agapiou, JM Bardsley, O Papaspiliopoulos, AM Stuart
SIAM/ASA Journal on Uncertainty Quantification 2 (1), 511-544, 2014
522014
Computational uncertainty quantification for inverse problems
JM Bardsley
SIAM, 2018
412018
Wavefront reconstruction methods for adaptive optics systems on ground-based telescopes
JM Bardsley
SIAM Journal on Matrix Analysis and Applications 30 (1), 67-83, 2008
412008
An efficient computational method for total variation-penalized Poisson likelihood estimation
JM Bardsley
Inverse Problems & Imaging 2 (2), 167, 2008
392008
The variational Kalman filter and an efficient implementation using limited memory BFGS
H Auvinen, JM Bardsley, H Haario, T Kauranne
International Journal for Numerical Methods in Fluids 64 (3), 314-335, 2010
382010
Least-squares methods with Poissonian noise: Analysis and comparison with the Richardson-Lucy algorithm
R Vio, J Bardsley, W Wamsteker
Astronomy & Astrophysics 436 (2), 741-755, 2005
382005
Tikhonov regularized Poisson likelihood estimation: theoretical justification and a computational method
JM Bardsley, N Laobeul
Inverse Problems in Science and Engineering 16 (2), 199-215, 2008
372008
Hierarchical regularization for edge-preserving reconstruction of PET images
JM Bardsley, D Calvetti, E Somersalo
Inverse Problems 26 (3), 035010, 2010
362010
Bayesian Inverse Problems with Priors: A Randomize-Then-Optimize Approach
Z Wang, JM Bardsley, A Solonen, T Cui, YM Marzouk
SIAM Journal on Scientific Computing 39 (5), S140-S166, 2017
322017
Computational methods for a large-scale inverse problem arising in atmospheric optics
L Gilles, CR Vogel, JM Bardsley
Inverse Problems 18 (1), 237, 2002
292002
GAUSSIAN MARKOV RANDOM FIELD PRIORS FOR INVERSE PROBLEMS
JM Bardsley
Inverse Problems and Imaging 7 (2), 397 - 416, 2013
282013
Structured linear algebra problems in adaptive optics imaging
JM Bardsley, S Knepper, J Nagy
Advances in Computational Mathematics 35 (2), 103-117, 2011
272011
The stabilizing properties of nonnegativity constraints in least-squares image reconstruction
JM Bardsley, JK Merikoski, R Vio
International Journal of Pure and Applied Mathematics 43 (1), 95, 2008
272008
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