Bayesian inverse problems with $l_1$ priors: a Randomize-then-Optimize
approach

Bayesian inverse problems with $l_1$ priors: a Randomize-then-Optimize approach

7 July 2016

Zheng Wang

Johnathan M. Bardsley

Youssef M. Marzouk

Papers citing "Bayesian inverse problems with $l_1$ priors: a Randomize-then-Optimize approach"

5 / 5 papers shown

Title
Scalable optimization-based sampling on function space Johnathan M. Bardsley Tiangang Cui Youssef Marzouk Zheng Wang 27 17 0 03 Mar 2019
Dimension-Robust MCMC in Bayesian Inverse Problems Victor Chen Matthew M. Dunlop O. Papaspiliopoulos Andrew M. Stuart 22 36 0 09 Mar 2018
Variable transformation to obtain geometric ergodicity in the random-walk Metropolis algorithm Leif Johnson C. Geyer 71 51 0 27 Feb 2013
MCMC using Hamiltonian dynamics Radford M. Neal 185 3,262 0 09 Jun 2012
Fast Markov chain Monte Carlo sampling for sparse Bayesian inference in high-dimensional inverse problems using L1-type priors F. Lucka 38 30 0 01 Jun 2012