Johnathan M. Bardsley

According to our database, Johnathan M. Bardsley authored at least 25 papers between 2004 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

A Hybrid Gibbs Sampler for Edge-Preserving Tomographic Reconstruction with Uncertain View Angles.

Felipe Uribe, Johnathan M. Bardsley, Yiqiu Dong, Per Christian Hansen, Nicolai André Brogaard Riis

SIAM/ASA J. Uncertain. Quantification, March, 2022

2021

Matlab Software for Supervised Habitat Mapping of Freshwater Systems Using Image Processing.

Johnathan M. Bardsley, Marylesa Howard, Mark Lorang

Remote. Sens., 2021

Optimization-Based Markov Chain Monte Carlo Methods for Nonlinear Hierarchical Statistical Inverse Problems.

Johnathan M. Bardsley, Tiangang Cui

SIAM/ASA J. Uncertain. Quantification, 2021

2020

MCMC Algorithms for Computational UQ of Nonnegativity Constrained Linear Inverse Problems.

Johnathan M. Bardsley, Per Christian Hansen

SIAM J. Sci. Comput., 2020

Scalable Optimization-Based Sampling on Function Space.

Johnathan M. Bardsley, Tiangang Cui, Youssef M. Marzouk, Zheng Wang

SIAM J. Sci. Comput., 2020

Optimization-Based MCMC Methods for Nonlinear Hierarchical Statistical Inverse Problems.

Johnathan M. Bardsley, Tiangang Cui

CoRR, 2020

2019

Parameter and Uncertainty Estimation for Dynamical Systems Using Surrogate Stochastic Processes.

Matthias Chung, Mickaël Binois, Robert B. Gramacy, Johnathan M. Bardsley, David J. Moquin, Amanda P. Smith, Amber M. Smith

SIAM J. Sci. Comput., 2019

Efficient Marginalization-Based MCMC Methods for Hierarchical Bayesian Inverse Problems.

Arvind K. Saibaba, Johnathan M. Bardsley, D. Andrew Brown, Alen Alexanderian

SIAM/ASA J. Uncertain. Quantification, 2019

2018

Point Spread Function Estimation in X-Ray Imaging with Partially Collapsed Gibbs Sampling.

Kevin T. Joyce, Johnathan M. Bardsley, Aaron Luttman

SIAM J. Sci. Comput., 2018

2017

Bayesian Inverse Problems with l₁ Priors: A Randomize-Then-Optimize Approach.

Zheng Wang, Johnathan M. Bardsley, Antti Solonen, Tiangang Cui, Youssef M. Marzouk

SIAM J. Sci. Comput., 2017

2015

Randomize-Then-Optimize for Sampling and Uncertainty Quantification in Electrical Impedance Tomography.

Johnathan M. Bardsley, Aku Seppänen, Antti Solonen, Heikki Haario, Jari P. Kaipio

SIAM/ASA J. Uncertain. Quantification, 2015

2014

Randomize-Then-Optimize: A Method for Sampling from Posterior Distributions in Nonlinear Inverse Problems.

Johnathan M. Bardsley, Antti Solonen, Heikki Haario, Marko Laine

SIAM J. Sci. Comput., 2014

Analysis of the Gibbs Sampler for Hierarchical Inverse Problems.

Sergios Agapiou, Johnathan M. Bardsley, Omiros Papaspiliopoulos, Andrew M. Stuart

SIAM/ASA J. Uncertain. Quantification, 2014

2013

Krylov space approximate Kalman filtering.

Johnathan M. Bardsley, Albert Parker, Antti Solonen, Marylesa Howard

Numer. Linear Algebra Appl., 2013

2012

MCMC-Based Image Reconstruction with Uncertainty Quantification.

Johnathan M. Bardsley

SIAM J. Sci. Comput., 2012

2011

Regularization parameter selection and an efficient algorithm for total variation-regularized positron emission tomography.

Johnathan M. Bardsley, John Goldes

Numer. Algorithms, 2011

Structured linear algebra problems in adaptive optics imaging.

Johnathan M. Bardsley, Sarah Knepper, James G. Nagy

Adv. Comput. Math., 2011

2010

An Iterative Method for Edge-Preserving MAP Estimation When Data-Noise Is Poisson.

Johnathan M. Bardsley, John Goldes

SIAM J. Sci. Comput., 2010

2009

Total variation-penalized Poisson likelihood estimation for ill-posed problems.

Johnathan M. Bardsley, Aaron Luttman

Adv. Comput. Math., 2009

2008

An Efficient Phase and Object Estimation Scheme for Phase-Diversity Time Series Data.

Johnathan M. Bardsley

IEEE Trans. Image Process., 2008

Erratum: A Variational Approach to Video Segmentation for Botanical Data.

Aaron Luttman, John Bardsley

SIAM J. Sci. Comput., 2008

Wavefront Reconstruction Methods for Adaptive Optics Systems on Ground-Based Telescopes.

Johnathan M. Bardsley

SIAM J. Matrix Anal. Appl., 2008

2007

A Variational Approach to Video Segmentation for Botanical Data.

Aaron Luttman, John Bardsley

SIAM J. Sci. Comput., 2007

2006

Covariance-Preconditioned Iterative Methods for Nonnegatively Constrained Astronomical Imaging.

Johnathan M. Bardsley, James G. Nagy

SIAM J. Matrix Anal. Appl., 2006

2004

A Nonnegatively Constrained Convex Programming Method for Image Reconstruction.

Johnathan M. Bardsley, Curtis R. Vogel

SIAM J. Sci. Comput., 2004