Complexity Results for MCMC derived from Quantitative Bounds

2 August 2017

Papers citing "Complexity Results for MCMC derived from Quantitative Bounds"

7 / 7 papers shown

Title
Lower bounds on the rate of convergence for accept-reject-based Markov chains in Wasserstein and total variation distances Austin R. Brown Galin L. Jones 28 3 0 12 Dec 2022
Stereographic Markov Chain Monte Carlo Jun Yang K. Latuszyñski Gareth O. Roberts 46 14 0 24 May 2022
Dimension free convergence rates for Gibbs samplers for Bayesian linear mixed models Z. Jin J. Hobert 27 4 0 10 Mar 2021
On the limitations of single-step drift and minorization in Markov chain convergence analysis Qian Qin J. Hobert 22 29 0 21 Mar 2020
Convergence Analysis of a Collapsed Gibbs Sampler for Bayesian Vector Autoregressions Karl Oskar Ekvall Galin L. Jones 26 16 0 06 Jul 2019
Fast Markov chain Monte Carlo for high dimensional Bayesian regression models with shrinkage priors Rui Jin Aixin Tan 29 8 0 16 Mar 2019
MCMC using Hamiltonian dynamics Radford M. Neal 192 3,268 0 09 Jun 2012