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Optimal Scaling of MCMC Beyond Metropolis
5 April 2021
Sanket Agrawal
Dootika Vats
K. Łatuszyński
Gareth O. Roberts
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Papers citing
"Optimal Scaling of MCMC Beyond Metropolis"
13 / 13 papers shown
Title
Optimal scaling of random-walk Metropolis algorithms using Bayesian large-sample asymptotics
Sebastian M. Schmon
Philippe Gagnon
33
17
0
13 Apr 2021
From the Bernoulli Factory to a Dice Enterprise via Perfect Sampling of Markov Chains
Giulio Morina
Krzysztof Latuszynski
P. Nayar
Alex Wendland
47
9
0
19 Dec 2019
Optimal Scaling of Random-Walk Metropolis Algorithms on General Target Distributions
Jun Yang
Gareth O. Roberts
Jeffrey S. Rosenthal
OT
78
29
0
27 Apr 2019
Large Sample Asymptotics of the Pseudo-Marginal Method
Sebastian M. Schmon
George Deligiannidis
Arnaud Doucet
M. Pitt
53
31
0
26 Jun 2018
Barker's algorithm for Bayesian inference with intractable likelihoods
F. Gonccalves
K. Latuszyñski
Gareth O. Roberts
121
10
0
22 Sep 2017
A Dirichlet Form approach to MCMC Optimal Scaling
Giacomo Zanella
W. Kendall
M. Bédard
40
9
0
05 Jun 2016
Multivariate Output Analysis for Markov chain Monte Carlo
Dootika Vats
James M. Flegal
Galin L. Jones
53
276
0
24 Dec 2015
Efficiency of delayed-acceptance random walk Metropolis algorithms
Chris Sherlock
Alexandre Hoang Thiery
Andrew Golightly
50
16
0
26 Jun 2015
Accelerating Metropolis-Hastings algorithms by Delayed Acceptance
Marco Banterle
Clara Grazian
Anthony Lee
Christian P. Robert
73
55
0
03 Mar 2015
On the efficiency of pseudo-marginal random walk Metropolis algorithms
Chris Sherlock
Alexandre Hoang Thiery
Gareth O. Roberts
Jeffrey S. Rosenthal
97
191
0
27 Sep 2013
MCMC using Hamiltonian dynamics
Radford M. Neal
292
3,282
0
09 Jun 2012
CLTs and asymptotic variance of time-sampled Markov chains
K. Łatuszyński
Gareth O. Roberts
84
23
0
10 Feb 2011
Optimal scaling of the random walk Metropolis on elliptically symmetric unimodal targets
Chris Sherlock
Gareth O. Roberts
90
61
0
04 Sep 2009
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