Johnathan M. Bardsley: search on Z-Library

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1

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

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

Journal:

SIAM/ASA Journal on Uncertainty Quantification

Year:

2015

Language:

english

File:

PDF, 560 KB

english, 2015

2

A theoretical framework for the regularization of Poisson likelihood estimation problems

Bardsley, Johnathan

Journal:

Inverse Problems and Imaging

Year:

2010

Language:

english

File:

PDF, 272 KB

english, 2010

3

Covariance-Preconditioned Iterative Methods for Nonnegatively Constrained Astronomical Imaging

Bardsley, Johnathan M., Nagy, James G.

Journal:

SIAM Journal on Matrix Analysis and Applications

Year:

2006

Language:

english

File:

PDF, 237 KB

english, 2006

4

Krylov space approximate Kalman filtering

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

Journal:

Numerical Linear Algebra with Applications

Year:

2012

Language:

english

File:

PDF, 462 KB

english, 2012

5

MCMC-Based Image Reconstruction with Uncertainty Quantification

Bardsley, Johnathan M.

Journal:

SIAM Journal on Scientific Computing

Year:

2012

Language:

english

File:

PDF, 339 KB

english, 2012

6

A computational method for the restoration of images with an unknown, spatially-varying blur

Bardsley, Johnathan, Jefferies, Stuart, Nagy, James, Plemmons, Robert

Journal:

Year:

2006

Language:

english

File:

PDF, 275 KB

english, 2006

7

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

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

Journal:

SIAM Journal on Scientific Computing

Year:

2018

Language:

english

File:

PDF, 1.50 MB

english, 2018

8

Efficient Marginalization-Based MCMC Methods for Hierarchical Bayesian Inverse Problems

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

Journal:

SIAM/ASA Journal on Uncertainty Quantification

Year:

2019

File:

PDF, 1.44 MB

2019

9

Numerical analysis of pattern formation on the surface of transpiring leaves

Aaron Luttman, Emily Stone, Johnathan Bardsley

Journal:

Physica D: Nonlinear Phenomena

Year:

2007

Language:

english

File:

PDF, 1.99 MB

english, 2007

10

A Nonnegatively Constrained Convex Programming Method for Image Reconstruction

Bardsley, Johnathan M., Vogel, Curtis R.

Journal:

SIAM Journal on Scientific Computing

Year:

2004

Language:

english

File:

PDF, 554 KB

english, 2004

11

Tikhonov regularized Poisson likelihood estimation: theoretical justification and a computational method

Bardsley†, Johnathan M., Laobeul, N'djekornom

Journal:

Inverse Problems in Science and Engineering

Year:

2008

Language:

english

File:

PDF, 317 KB

english, 2008

12

Stopping rules for a nonnegatively constrained iterative method for ill-posed Poisson imaging problems

Johnathan M. Bardsley

Journal:

BIT Numerical Mathematics

Year:

2008

Language:

english

File:

PDF, 807 KB

english, 2008

13

An analysis of regularization by diffusion for ill-posed Poisson likelihood estimations

M. Bardsley, Johnathan, Laobeul, N'djekornom

Journal:

Inverse Problems in Science and Engineering

Year:

2009

Language:

english

File:

PDF, 263 KB

english, 2009

14

Structured linear algebra problems in adaptive optics imaging

Johnathan M. Bardsley, Sarah Knepper, James Nagy

Journal:

Advances in Computational Mathematics

Year:

2011

Language:

english

File:

PDF, 563 KB

english, 2011

15

Parameter and Uncertainty Estimation for Dynamical Systems Using Surrogate Stochastic Processes

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

Journal:

SIAM Journal on Scientific Computing

Year:

2019

File:

PDF, 3.94 MB

2019

16

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

Bardsley, Johnathan M.

Journal:

IEEE Transactions on Image Processing

Year:

2008

Language:

english

File:

PDF, 1.11 MB

english, 2008

17

Scalable Optimization-Based Sampling on Function Space

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

Journal:

SIAM Journal on Scientific Computing

Year:

2020

File:

PDF, 1.99 MB

2020

18

Bayesian Inverse Problems with $l_1$ Priors: A Randomize-Then-Optimize Approach

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

Journal:

SIAM Journal on Scientific Computing

Year:

2017

Language:

english

File:

PDF, 1.09 MB

english, 2017

19

Efficient Marginalization-Based MCMC Methods for Hierarchical Bayesian Inverse Problems

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

Journal:

SIAM/ASA Journal on Uncertainty Quantification

Year:

2019

Language:

english

File:

PDF, 1.44 MB

english, 2019

20

Dealing with boundary artifacts in MCMC-based deconvolution

Bardsley, Johnathan M., Luttman, Aaron

Journal:

Linear Algebra and its Applications

Year:

2015

Language:

english

File:

PDF, 1.18 MB

english, 2015

21

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

Bardsley, Johnathan M., Goldes, John

Journal:

SIAM Journal on Scientific Computing

Year:

2010

Language:

english

File:

PDF, 295 KB

english, 2010

22

Hierarchical regularization for edge-preserving reconstruction of PET images

Bardsley, Johnathan M, Calvetti, Daniela, Somersalo, Erkki

Journal:

Inverse Problems

Year:

2010

Language:

english

File:

PDF, 472 KB

english, 2010

23

Wavefront estimation for adaptive optics systems on ground-based telescopes

Johnathan Bardsley

Journal:

Year:

2007

Language:

english

File:

PDF, 601 KB

english, 2007

24

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

Johnathan M. Bardsley, John Goldes

Journal:

Numerical Algorithms

Year:

2011

Language:

english

File:

PDF, 499 KB

english, 2011

25

Techniques for regularization parameter and hyper-parameter selection in PET and SPECT imaging

Bardsley, Johnathan M., Goldes, John

Journal:

Inverse Problems in Science and Engineering

Year:

2011

Language:

english

File:

PDF, 886 KB

english, 2011

26

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

Johnathan M. Bardsley, Aaron Luttman

Journal:

Advances in Computational Mathematics

Year:

2009

Language:

english

File:

PDF, 592 KB

english, 2009

27

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

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

Journal:

SIAM Journal on Scientific Computing

Year:

2014

Language:

english

File:

PDF, 708 KB

english, 2014

28

An MCMC method for uncertainty quantification in nonnegativity constrained inverse problems

Bardsley, Johnathan M., Fox, Colin

Journal:

Inverse Problems in Science and Engineering

Year:

2012

Language:

english

File:

PDF, 1.25 MB

english, 2012

29

MCMC Algorithms for Computational UQ of Nonnegativity Constrained Linear Inverse Problems

Bardsley, Johnathan M., Hansen, Per Christian

Journal:

SIAM Journal on Scientific Computing

Year:

2020

File:

PDF, 1.03 MB

2020

30

Regularization parameter selection methods for ill-posed Poisson maximum likelihood estimation

Bardsley, Johnathan M, Goldes, John

Journal:

Inverse Problems

Year:

2009

Language:

english

File:

PDF, 770 KB

english, 2009

31

Laplace-distributed increments, the Laplace prior, and edge-preserving regularization

Bardsley, Johnathan M.

Journal:

Journal of Inverse and Ill-Posed Problems

Year:

2012

Language:

english

File:

PDF, 331 KB

english, 2012

32

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

Bardsley, Johnathan M.

Journal:

SIAM Journal on Matrix Analysis and Applications

Year:

2008

Language:

english

File:

PDF, 269 KB

english, 2008

33

A limited-memory, quasi-Newton preconditioner for nonnegatively constrained image reconstruction

Bardsley, Johnathan M.

Journal:

Journal of the Optical Society of America A

Year:

2004

Language:

english

File:

PDF, 310 KB

english, 2004

34

Analysis of the Gibbs Sampler for Hierarchical Inverse Problems

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

Journal:

SIAM/ASA Journal on Uncertainty Quantification

Year:

2014

Language:

english

File:

PDF, 1.71 MB

english, 2014

35

Semivariogram methods for modeling WhittleâMatÃ©rn priors in Bayesian inverse problems

Brown, Richard D, Bardsley, Johnathan M, Cui, Tiangang

Journal:

Inverse Problems

Year:

2020

File:

PDF, 2.29 MB

2020

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