ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1708.00829
  4. Cited By
Complexity Results for MCMC derived from Quantitative Bounds

Complexity Results for MCMC derived from Quantitative Bounds

2 August 2017
Jun Yang
Jeffrey S. Rosenthal
ArXivPDFHTML

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

18 / 18 papers shown
Title
On the convergence rate of the "out-of-order" block Gibbs sampler
On the convergence rate of the "out-of-order" block Gibbs sampler
Z. Jin
J. Hobert
22
1
0
27 Oct 2021
Dimension-free Mixing for High-dimensional Bayesian Variable Selection
Dimension-free Mixing for High-dimensional Bayesian Variable Selection
Quan Zhou
Jun Yang
Dootika Vats
Gareth O. Roberts
Jeffrey S. Rosenthal
32
24
0
12 May 2021
On the convergence complexity of Gibbs samplers for a family of simple
  Bayesian random effects models
On the convergence complexity of Gibbs samplers for a family of simple Bayesian random effects models
Bryant Davis
J. Hobert
22
3
0
29 Apr 2020
Optimal Scaling of Random-Walk Metropolis Algorithms on General Target
  Distributions
Optimal Scaling of Random-Walk Metropolis Algorithms on General Target Distributions
Jun Yang
Gareth O. Roberts
Jeffrey S. Rosenthal
OT
53
29
0
27 Apr 2019
Perturbation Bounds for Monte Carlo within Metropolis via Restricted
  Approximations
Perturbation Bounds for Monte Carlo within Metropolis via Restricted Approximations
F. Medina-Aguayo
Daniel Rudolf
Nikolaus Schweizer
18
25
0
25 Sep 2018
Log-concave sampling: Metropolis-Hastings algorithms are fast
Log-concave sampling: Metropolis-Hastings algorithms are fast
Raaz Dwivedi
Yuansi Chen
Martin J. Wainwright
Bin Yu
66
253
0
08 Jan 2018
Convergence complexity analysis of Albert and Chib's algorithm for
  Bayesian probit regression
Convergence complexity analysis of Albert and Chib's algorithm for Bayesian probit regression
Qian Qin
J. Hobert
32
32
0
24 Dec 2017
Rapid Mixing of Hamiltonian Monte Carlo on Strongly Log-Concave
  Distributions
Rapid Mixing of Hamiltonian Monte Carlo on Strongly Log-Concave Distributions
Oren Mangoubi
Aaron Smith
97
106
0
23 Aug 2017
MCMC-Based Inference in the Era of Big Data: A Fundamental Analysis of
  the Convergence Complexity of High-Dimensional Chains
MCMC-Based Inference in the Era of Big Data: A Fundamental Analysis of the Convergence Complexity of High-Dimensional Chains
B. Rajaratnam
Doug Sparks
92
65
0
05 Aug 2015
Non-asymptotic convergence analysis for the Unadjusted Langevin
  Algorithm
Non-asymptotic convergence analysis for the Unadjusted Langevin Algorithm
Alain Durmus
Eric Moulines
61
410
0
17 Jul 2015
On the Computational Complexity of High-Dimensional Bayesian Variable
  Selection
On the Computational Complexity of High-Dimensional Bayesian Variable Selection
Yun Yang
Martin J. Wainwright
Michael I. Jordan
76
151
0
29 May 2015
On a generalization of the preconditioned Crank-Nicolson Metropolis
  algorithm
On a generalization of the preconditioned Crank-Nicolson Metropolis algorithm
Daniel Rudolf
Björn Sprungk
41
67
0
14 Apr 2015
Theoretical guarantees for approximate sampling from smooth and
  log-concave densities
Theoretical guarantees for approximate sampling from smooth and log-concave densities
A. Dalalyan
66
514
0
23 Dec 2014
Error bounds for Metropolis-Hastings algorithms applied to perturbations
  of Gaussian measures in high dimensions
Error bounds for Metropolis-Hastings algorithms applied to perturbations of Gaussian measures in high dimensions
A. Eberle
79
41
0
03 Oct 2012
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
285
3,278
0
09 Jun 2012
Nonasymptotic bounds on the estimation error of MCMC algorithms
Nonasymptotic bounds on the estimation error of MCMC algorithms
K. Latuszyñski
B. Miasojedow
Wojciech Niemiro
74
59
0
23 Jun 2011
Non-asymptotic mixing of the MALA algorithm
Non-asymptotic mixing of the MALA algorithm
Nawaf Bou-Rabee
Martin Hairer
Eric Vanden-Eijnden
59
94
0
20 Aug 2010
Rigorous confidence bounds for MCMC under a geometric drift condition
Rigorous confidence bounds for MCMC under a geometric drift condition
Krzysztof Latuszynski
Wojciech Niemiro
79
30
0
14 Aug 2009
1