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A Dirichlet Form approach to MCMC Optimal Scaling
v1v2 (latest)

A Dirichlet Form approach to MCMC Optimal Scaling

5 June 2016
Giacomo Zanella
W. Kendall
M. Bédard
ArXiv (abs)PDFHTML

Papers citing "A Dirichlet Form approach to MCMC Optimal Scaling"

7 / 7 papers shown
Title
Convergence of Dirichlet Forms for MCMC Optimal Scaling with Dependent
  Target Distributions on Large Graphs
Convergence of Dirichlet Forms for MCMC Optimal Scaling with Dependent Target Distributions on Large Graphs
Ning Ning
23
1
0
31 Oct 2022
Optimal design of the Barker proposal and other locally-balanced
  Metropolis-Hastings algorithms
Optimal design of the Barker proposal and other locally-balanced Metropolis-Hastings algorithms
Jure Vogrinc
Samuel Livingstone
Giacomo Zanella
45
11
0
04 Jan 2022
Optimal Scaling of MCMC Beyond Metropolis
Optimal Scaling of MCMC Beyond Metropolis
Sanket Agrawal
Dootika Vats
K. Łatuszyński
Gareth O. Roberts
70
11
0
05 Apr 2021
Counterexamples for optimal scaling of Metropolis-Hastings chains with
  rough target densities
Counterexamples for optimal scaling of Metropolis-Hastings chains with rough target densities
Jure Vogrinc
W. Kendall
38
6
0
21 Oct 2019
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
95
29
0
27 Apr 2019
Optimal Scaling and Shaping of Random Walk Metropolis via Diffusion
  Limits of Block-I.I.D. Targets
Optimal Scaling and Shaping of Random Walk Metropolis via Diffusion Limits of Block-I.I.D. Targets
Jeffrey Negrea
15
0
0
18 Feb 2019
Efficiency of delayed-acceptance random walk Metropolis algorithms
Efficiency of delayed-acceptance random walk Metropolis algorithms
Chris Sherlock
Alexandre Hoang Thiery
Andrew Golightly
77
16
0
26 Jun 2015
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