Johnathan M. Bardsley

23 papers Journal 23
YearRankTypeTitle / Venue / Authors
2022 J jnl
A Hybrid Gibbs Sampler for Edge-Preserving Tomographic Reconstruction with Uncertain View Angles.
SIAM/ASA J. Uncertain. Quantification
Felipe Uribe, Johnathan M. Bardsley, Yiqiu Dong, Per Christian Hansen, Nicolai André Brogaard Riis
2021 J jnl
Matlab Software for Supervised Habitat Mapping of Freshwater Systems Using Image Processing.
Remote. Sens.
Johnathan M. Bardsley, Marylesa Howard, Mark Lorang
2021 J jnl
Optimization-Based Markov Chain Monte Carlo Methods for Nonlinear Hierarchical Statistical Inverse Problems.
SIAM/ASA J. Uncertain. Quantification
Johnathan M. Bardsley, Tiangang Cui
2020 J jnl
MCMC Algorithms for Computational UQ of Nonnegativity Constrained Linear Inverse Problems.
SIAM J. Sci. Comput.
Johnathan M. Bardsley, Per Christian Hansen
2020 J jnl
Optimization-Based MCMC Methods for Nonlinear Hierarchical Statistical Inverse Problems.
CoRR
Johnathan M. Bardsley, Tiangang Cui
2020 J jnl
Scalable Optimization-Based Sampling on Function Space.
SIAM J. Sci. Comput.
Johnathan M. Bardsley, Tiangang Cui, Youssef M. Marzouk, Zheng Wang
2019 J jnl
Efficient Marginalization-Based MCMC Methods for Hierarchical Bayesian Inverse Problems.
SIAM/ASA J. Uncertain. Quantification
Arvind K. Saibaba, Johnathan M. Bardsley, D. Andrew Brown, Alen Alexanderian
2019 J jnl
Parameter and Uncertainty Estimation for Dynamical Systems Using Surrogate Stochastic Processes.
SIAM J. Sci. Comput.
Matthias Chung, Mickaël Binois, Robert B. Gramacy, Johnathan M. Bardsley, David J. Moquin, Amanda P. Smith, Amber M. Smith
2018 J jnl
Point Spread Function Estimation in X-Ray Imaging with Partially Collapsed Gibbs Sampling.
SIAM J. Sci. Comput.
Kevin T. Joyce, Johnathan M. Bardsley, Aaron Luttman
2017 J jnl
Bayesian Inverse Problems with l
SIAM J. Sci. Comput.
Zheng Wang, Johnathan M. Bardsley, Antti Solonen, Tiangang Cui, Youssef M. Marzouk
2015 J jnl
Randomize-Then-Optimize for Sampling and Uncertainty Quantification in Electrical Impedance Tomography.
SIAM/ASA J. Uncertain. Quantification
Johnathan M. Bardsley, Aku Seppänen, Antti Solonen, Heikki Haario, Jari P. Kaipio
2014 J jnl
Analysis of the Gibbs Sampler for Hierarchical Inverse Problems.
SIAM/ASA J. Uncertain. Quantification
Sergios Agapiou, Johnathan M. Bardsley, Omiros Papaspiliopoulos, Andrew M. Stuart
2014 J jnl
Randomize-Then-Optimize: A Method for Sampling from Posterior Distributions in Nonlinear Inverse Problems.
SIAM J. Sci. Comput.
Johnathan M. Bardsley, Antti Solonen, Heikki Haario, Marko Laine
2013 J jnl
Krylov space approximate Kalman filtering.
Numer. Linear Algebra Appl.
Johnathan M. Bardsley, Albert Parker, Antti Solonen, Marylesa Howard
2012 J jnl
MCMC-Based Image Reconstruction with Uncertainty Quantification.
SIAM J. Sci. Comput.
Johnathan M. Bardsley
2011 J jnl
Regularization parameter selection and an efficient algorithm for total variation-regularized positron emission tomography.
Numer. Algorithms
Johnathan M. Bardsley, John Goldes
2011 J jnl
Structured linear algebra problems in adaptive optics imaging.
Adv. Comput. Math.
Johnathan M. Bardsley, Sarah Knepper, James G. Nagy
2010 J jnl
An Iterative Method for Edge-Preserving MAP Estimation When Data-Noise Is Poisson.
SIAM J. Sci. Comput.
Johnathan M. Bardsley, John Goldes
2009 J jnl
Total variation-penalized Poisson likelihood estimation for ill-posed problems.
Adv. Comput. Math.
Johnathan M. Bardsley, Aaron Luttman
2008 J jnl
An Efficient Phase and Object Estimation Scheme for Phase-Diversity Time Series Data.
IEEE Trans. Image Process.
Johnathan M. Bardsley
2008 J jnl
Wavefront Reconstruction Methods for Adaptive Optics Systems on Ground-Based Telescopes.
SIAM J. Matrix Anal. Appl.
Johnathan M. Bardsley
2006 J jnl
Covariance-Preconditioned Iterative Methods for Nonnegatively Constrained Astronomical Imaging.
SIAM J. Matrix Anal. Appl.
Johnathan M. Bardsley, James G. Nagy
2004 J jnl
A Nonnegatively Constrained Convex Programming Method for Image Reconstruction.
SIAM J. Sci. Comput.
Johnathan M. Bardsley, Curtis R. Vogel