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Convergence Rates of Two-Component MCMC Samplers
v1v2v3 (latest)

Convergence Rates of Two-Component MCMC Samplers

26 June 2020
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
47
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
47
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
70
3
0
29 Jan 2022
1