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Peskun-Tierney ordering for Markov chain and process Monte Carlo: beyond
  the reversible scenario

Peskun-Tierney ordering for Markov chain and process Monte Carlo: beyond the reversible scenario

14 June 2019
Christophe Andrieu
Samuel Livingstone
ArXivPDFHTML

Papers citing "Peskun-Tierney ordering for Markov chain and process Monte Carlo: beyond the reversible scenario"

3 / 3 papers shown
Title
A general perspective on the Metropolis-Hastings kernel
A general perspective on the Metropolis-Hastings kernel
Christophe Andrieu
Anthony Lee
Samuel Livingstone
8
24
0
29 Dec 2020
A piecewise deterministic Monte Carlo method for diffusion bridges
A piecewise deterministic Monte Carlo method for diffusion bridges
J. Bierkens
Sebastiano Grazzi
Frank van der Meulen
Moritz Schauer
DiffM
8
22
0
16 Jan 2020
The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis
  of Big Data
The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis of Big Data
J. Bierkens
Paul Fearnhead
Gareth O. Roberts
53
232
0
11 Jul 2016
1