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Randomized maximum likelihood based posterior sampling

Randomized maximum likelihood based posterior sampling

Yuming Ba
Jana de Wiljes
D. Oliver
Sebastian Reich
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Papers citing "Randomized maximum likelihood based posterior sampling"

7 / 7 papers shown
Title
Scalable optimization-based sampling on function space
Scalable optimization-based sampling on function space
Johnathan M. Bardsley
Tiangang Cui
Youssef Marzouk
Zheng Wang
64
17
0
03 Mar 2019
A randomized maximum a posterior method for posterior sampling of high dimensional nonlinear Bayesian inverse problems
A randomized maximum a posterior method for posterior sampling of high dimensional nonlinear Bayesian inverse problems
Kainan Wang
T. Bui-Thanh
Omar Ghattas
38
46
0
11 Feb 2016
Metropolized Randomized Maximum Likelihood for sampling from multimodal distributions
Metropolized Randomized Maximum Likelihood for sampling from multimodal distributions
D. Oliver
27
30
0
30 Jul 2015
Dimension-independent likelihood-informed MCMC
Dimension-independent likelihood-informed MCMC
Tiangang Cui
K. Law
Youssef M. Marzouk
49
200
0
13 Nov 2014
A computational framework for infinite-dimensional Bayesian inverse problems. Part I: The linearized case, with application to global seismic inversion
A computational framework for infinite-dimensional Bayesian inverse problems. Part I: The linearized case, with application to global seismic inversion
T. Bui-Thanh
Omar Ghattas
James Martin
G. Stadler
71
392
0
06 Aug 2013
On the Stability of Sequential Monte Carlo Methods in High Dimensions
On the Stability of Sequential Monte Carlo Methods in High Dimensions
A. Beskos
Dan Crisan
Ajay Jasra
118
172
0
21 Mar 2011
Curse-of-dimensionality revisited: Collapse of the particle filter in very large scale systems
Curse-of-dimensionality revisited: Collapse of the particle filter in very large scale systems
T. Bengtsson
Peter J. Bickel
Bo Li
103
421
0
20 May 2008