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ORCIDJohnathan M. Bardsley
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2020 – today
- 2022
[j24]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
- [j23]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) - [j22]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
- [j21]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) - [j20]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) - [i1]Johnathan M. Bardsley, Tiangang Cui:
Optimization-Based MCMC Methods for Nonlinear Hierarchical Statistical Inverse Problems. CoRR abs/2002.06358 (2020)
2010 – 2019
- 2019
- [j19]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) - [j18]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
- [j17]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
- [j16]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
- [j15]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
- [j14]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) - [j13]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
- [j12]Johnathan M. Bardsley, Albert Parker, Antti Solonen, Marylesa Howard:
Krylov space approximate Kalman filtering. Numer. Linear Algebra Appl. 20(2): 171-184 (2013) - 2012
- [j11]Johnathan M. Bardsley:
MCMC-Based Image Reconstruction with Uncertainty Quantification. SIAM J. Sci. Comput. 34(3) (2012) - 2011
- [j10]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) - [j9]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
- [j8]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)
2000 – 2009
- 2009
- [j7]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
- [j6]Johnathan M. Bardsley:
Wavefront Reconstruction Methods for Adaptive Optics Systems on Ground-Based Telescopes. SIAM J. Matrix Anal. Appl. 30(1): 67-83 (2008) - [j5]Aaron Luttman, John Bardsley:
Erratum: A Variational Approach to Video Segmentation for Botanical Data. SIAM J. Sci. Comput. 30(1): 548-548 (2008) - [j4]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
- [j3]Aaron Luttman, John Bardsley:
A Variational Approach to Video Segmentation for Botanical Data. SIAM J. Sci. Comput. 29(4): 1550-1566 (2007) - 2006
- [j2]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
- [j1]Johnathan M. Bardsley, Curtis R. Vogel:
A Nonnegatively Constrained Convex Programming Method for Image Reconstruction. SIAM J. Sci. Comput. 25(4): 1326-1343 (2004)
Coauthor Index
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