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Dimension-Robust MCMC in Bayesian Inverse Problems

Dimension-Robust MCMC in Bayesian Inverse Problems

9 March 2018
Victor Chen
Matthew M. Dunlop
O. Papaspiliopoulos
Andrew M. Stuart
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Papers citing "Dimension-Robust MCMC in Bayesian Inverse Problems"

6 / 6 papers shown
Title
Dimension-independent Markov chain Monte Carlo on the sphere
Dimension-independent Markov chain Monte Carlo on the sphere
H. Lie
Daniel Rudolf
Björn Sprungk
T. Sullivan
32
6
0
22 Dec 2021
Bayesian neural network priors for edge-preserving inversion
Bayesian neural network priors for edge-preserving inversion
Chen Li
Matthew M. Dunlop
G. Stadler
22
12
0
20 Dec 2021
Non-Stationary Multi-layered Gaussian Priors for Bayesian Inversion
Non-Stationary Multi-layered Gaussian Priors for Bayesian Inversion
M. Emzir
Sari Lasanen
Z. Purisha
L. Roininen
Simo Särkkä
24
9
0
28 Jun 2020
Optimal Scaling of Random-Walk Metropolis Algorithms on General Target
  Distributions
Optimal Scaling of Random-Walk Metropolis Algorithms on General Target Distributions
Jun Yang
Gareth O. Roberts
Jeffrey S. Rosenthal
OT
24
28
0
27 Apr 2019
Scalable optimization-based sampling on function space
Scalable optimization-based sampling on function space
Johnathan M. Bardsley
Tiangang Cui
Youssef Marzouk
Zheng Wang
27
17
0
03 Mar 2019
Posterior Inference for Sparse Hierarchical Non-stationary Models
Posterior Inference for Sparse Hierarchical Non-stationary Models
K. Monterrubio-Gómez
L. Roininen
S. Wade
Theo Damoulas
Mark Girolami
31
27
0
04 Apr 2018
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