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Convergence Rates of Two-Component MCMC Samplers
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Convergence Rates of Two-Component MCMC Samplers

Qian Qin
Galin L. Jones
ArXiv (abs)PDFHTML

Papers citing "Convergence Rates of Two-Component MCMC Samplers"

9 / 9 papers shown
Title
Comparison Theorems for the Mixing Times of Systematic and Random Scan Dynamics
Comparison Theorems for the Mixing Times of Systematic and Random Scan Dynamics
Jason Gaitonde
Elchanan Mossel
16
1
0
14 Oct 2024
Is Gibbs sampling faster than Hamiltonian Monte Carlo on GLMs?
Is Gibbs sampling faster than Hamiltonian Monte Carlo on GLMs?
Son Luu
Zuheng Xu
Nikola Surjanovic
Miguel Biron-Lattes
Trevor Campbell
Alexandre Bouchard-Côté
58
0
0
04 Oct 2024
Multivariate strong invariance principle and uncertainty assessment for time in-homogeneous cyclic MCMC samplers
Multivariate strong invariance principle and uncertainty assessment for time in-homogeneous cyclic MCMC samplers
Haoxiang Li
Qian Qin
49
1
0
16 May 2024
Scalability of Metropolis-within-Gibbs schemes for high-dimensional Bayesian models
Scalability of Metropolis-within-Gibbs schemes for high-dimensional Bayesian models
Filippo Ascolani
Gareth O. Roberts
Giacomo Zanella
78
6
0
14 Mar 2024
Spectral gap bounds for reversible hybrid Gibbs chains
Spectral gap bounds for reversible hybrid Gibbs chains
Qian Qin
Nianqiao Ju
Guanyang Wang
73
5
0
20 Dec 2023
Geometric ergodicity of trans-dimensional Markov chain Monte Carlo algorithms
Geometric ergodicity of trans-dimensional Markov chain Monte Carlo algorithms
Qian Qin
43
3
0
31 Jul 2023
Solidarity of Gibbs Samplers: the spectral gap
Solidarity of Gibbs Samplers: the spectral gap
Iwona Chlebicka
K. Latuszyñski
B. Miasojedow
56
2
0
04 Apr 2023
Convergence Analysis of Data Augmentation Algorithms for Bayesian Robust Multivariate Linear Regression with Incomplete Data
Convergence Analysis of Data Augmentation Algorithms for Bayesian Robust Multivariate Linear Regression with Incomplete Data
Haoxiang Li
Qian Qin
Galin L. Jones
51
1
0
04 Dec 2022
Analysis of two-component Gibbs samplers using the theory of two projections
Analysis of two-component Gibbs samplers using the theory of two projections
Qian Qin
73
3
0
29 Jan 2022