ResearchTrend.AI
Regeneration and Fixed-Width Analysis of Markov Chain Monte Carlo Algorithms

Regeneration and Fixed-Width Analysis of Markov Chain Monte Carlo Algorithms

Krzysztof Latuszynski
ArXiv (abs)PDFHTML

Papers citing "Regeneration and Fixed-Width Analysis of Markov Chain Monte Carlo Algorithms"

4 / 4 papers shown
Title
Efficient shape-constrained inference for the autocovariance sequence from a reversible Markov chain
Efficient shape-constrained inference for the autocovariance sequence from a reversible Markov chain
Stephen Berg
Hyebin Song
90
6
0
26 Jul 2022
Adaptive Gibbs samplers and related MCMC methods
Adaptive Gibbs samplers and related MCMC methods
K. Latuszyñski
Gareth O. Roberts
Jeffrey S. Rosenthal
117
88
0
31 Jan 2011
Adaptive Gibbs samplers
Adaptive Gibbs samplers
Krzysztof Latuszynski
Jeffrey S. Rosenthal
462
6
0
16 Jan 2010
Nonasymptotic bounds on the estimation error for regenerative MCMC algorithms
Nonasymptotic bounds on the estimation error for regenerative MCMC algorithms
Krzysztof Latuszynski
B. Miasojedow
Wojciech Niemiro
95
6
0
28 Jul 2009