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Bardsley, Johnathan M.
~ 300
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1
A Hybrid Gibbs Sampler for Edge-Preserving Tomographic Reco..:
Uribe, Felipe
;
Bardsley, Johnathan M.
;
Dong, Yiqiu
..
SIAM/ASA Journal on Uncertainty Quantification. 10 (2022) 3 - p. 1293-1320 , 2022
Link:
https://doi.org/10.1137/..
?
2
Matlab Software for Supervised Habitat Mapping of Freshwate..:
Bardsley, Johnathan M.
;
Howard, Marylesa
;
Lorang, Mark
Remote Sensing. 13 (2021) 23 - p. 4906 , 2021
Link:
https://doi.org/10.3390/..
?
3
Optimization-Based Markov Chain Monte Carlo Methods for Non..:
Bardsley, Johnathan M.
;
Cui, Tiangang
SIAM/ASA Journal on Uncertainty Quantification. 9 (2021) 1 - p. 29-64 , 2021
Link:
https://doi.org/10.1137/..
?
4
Scalable Optimization-Based Sampling on Function Space:
Bardsley, Johnathan M.
;
Cui, Tiangang
;
Marzouk, Youssef M.
.
SIAM Journal on Scientific Computing. 42 (2020) 2 - p. A1317-A1347 , 2020
Link:
https://doi.org/10.1137/..
?
5
MCMC Algorithms for Computational UQ of Nonnegativity Const..:
Bardsley, Johnathan M.
;
Hansen, Per Christian
SIAM Journal on Scientific Computing. 42 (2020) 2 - p. A1269-A1288 , 2020
Link:
https://doi.org/10.1137/..
?
6
A Metropolis-Hastings-Within-Gibbs Sampler for Nonlinear Hi..:
, In:
2017 MATRIX Annals; MATRIX Book Series
,
Bardsley, Johnathan M.
;
Cui, Tiangang
- p. 3-12 , 2019
Link:
https://doi.org/10.1007/..
?
7
A Matrix Theoretic Derivation of the Kalman Filter:
, In:
2017 MATRIX Annals; MATRIX Book Series
,
Bardsley, Johnathan M.
- p. 505-513 , 2019
Link:
https://doi.org/10.1007/..
?
8
Parameter and Uncertainty Estimation for Dynamical Systems ..:
Chung, Matthias
;
Binois, Mickaël
;
Gramacy, Robert B.
...
SIAM Journal on Scientific Computing. 41 (2019) 4 - p. A2212-A2238 , 2019
Link:
https://doi.org/10.1137/..
?
9
Point Spread Function Estimation in X-Ray Imaging with Part..:
Joyce, Kevin T.
;
Bardsley, Johnathan M.
;
Luttman, Aaron
SIAM Journal on Scientific Computing. 40 (2018) 3 - p. B766-B787 , 2018
Link:
https://doi.org/10.1137/..
?
10
Bayesian Inverse Problems with $l_1$ Priors: A Randomize-Th..:
Wang, Zheng
;
Bardsley, Johnathan M.
;
Solonen, Antti
..
SIAM Journal on Scientific Computing. 39 (2017) 5 - p. S140-S166 , 2017
Link:
https://doi.org/10.1137/..
?
11
Randomize-Then-Optimize for Sampling and Uncertainty Quanti..:
Bardsley, Johnathan M.
;
Seppänen, Aku
;
Solonen, Antti
..
SIAM/ASA Journal on Uncertainty Quantification. 3 (2015) 1 - p. 1136-1158 , 2015
Link:
https://doi.org/10.1137/..
?
12
Dealing with boundary artifacts in MCMC-based deconvolution:
Bardsley, Johnathan M.
;
Luttman, Aaron
Linear Algebra and its Applications. 473 (2015) - p. 339-358 , 2015
Link:
https://doi.org/10.1016/..
?
13
Analysis of the Gibbs Sampler for Hierarchical Inverse Prob..:
Agapiou, Sergios
;
Bardsley, Johnathan M.
;
Papaspiliopoulos, Omiros
.
SIAM/ASA Journal on Uncertainty Quantification. 2 (2014) 1 - p. 511-544 , 2014
Link:
https://doi.org/10.1137/..
?
14
Randomize-Then-Optimize: A Method for Sampling from Posteri..:
Bardsley, Johnathan M.
;
Solonen, Antti
;
Haario, Heikki
.
SIAM Journal on Scientific Computing. 36 (2014) 4 - p. A1895-A1910 , 2014
Link:
https://doi.org/10.1137/..
?
15
MCMC-Based Image Reconstruction with Uncertainty Quantifica..:
Bardsley, Johnathan M.
SIAM Journal on Scientific Computing. 34 (2012) 3 - p. A1316-A1332 , 2012
Link:
https://doi.org/10.1137/..
1-15