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Wasserstein-based methods for convergence complexity analysis of MCMC with applications

20 October 2018

Papers citing "Wasserstein-based methods for convergence complexity analysis of MCMC with applications"

4 / 4 papers shown

Title
Central limit theorems for Markov chains based on their convergence rates in Wasserstein distance Rui Jin Aixin Tan 66 6 0 21 Feb 2020
Convergence Analysis of a Collapsed Gibbs Sampler for Bayesian Vector Autoregressions Karl Oskar Ekvall Galin L. Jones 48 18 0 06 Jul 2019
Convergence of diffusions and their discretizations: from continuous to discrete processes and back Valentin De Bortoli Alain Durmus 60 22 0 22 Apr 2019
Fast Markov chain Monte Carlo for high dimensional Bayesian regression models with shrinkage priors Rui Jin Aixin Tan 58 8 0 16 Mar 2019