Randomized maximum likelihood based posterior sampling

10 January 2021

Papers citing "Randomized maximum likelihood based posterior sampling"

7 / 7 papers shown

Title
Scalable optimization-based sampling on function space Johnathan M. Bardsley Tiangang Cui Youssef Marzouk Zheng Wang 61 17 0 03 Mar 2019
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 D. Oliver 27 30 0 30 Jul 2015
Dimension-independent likelihood-informed MCMC Tiangang Cui K. Law Youssef M. Marzouk 49 198 0 13 Nov 2014
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 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 T. Bengtsson Peter J. Bickel Bo Li 103 421 0 20 May 2008