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Metropolis-Hastings with Averaged Acceptance Ratios

Metropolis-Hastings with Averaged Acceptance Ratios

29 December 2020
Christophe Andrieu
Sinan Yildiri
Arnaud Doucet
Nicolas Chopin
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Papers citing "Metropolis-Hastings with Averaged Acceptance Ratios"

12 / 12 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
67
25
0
29 Dec 2020
On the utility of Metropolis-Hastings with asymmetric acceptance ratio
On the utility of Metropolis-Hastings with asymmetric acceptance ratio
Christophe Andrieu
Arnaud Doucet
S. Yıldırım
Nicolas Chopin
36
17
0
26 Mar 2018
Informed proposals for local MCMC in discrete spaces
Informed proposals for local MCMC in discrete spaces
Giacomo Zanella
57
125
0
20 Nov 2017
The Correlated Pseudo-Marginal Method
The Correlated Pseudo-Marginal Method
George Deligiannidis
Arnaud Doucet
M. Pitt
57
101
0
16 Nov 2015
Establishing some order amongst exact approximations of MCMCs
Establishing some order amongst exact approximations of MCMCs
Christophe Andrieu
M. Vihola
59
60
0
28 Apr 2014
The Use of a Single Pseudo-Sample in Approximate Bayesian Computation
The Use of a Single Pseudo-Sample in Approximate Bayesian Computation
L. Bornn
Natesh Pillai
Aaron Smith
D. Woodard
54
43
0
25 Apr 2014
Parameter Estimation in Hidden Markov Models with Intractable
  Likelihoods Using Sequential Monte Carlo
Parameter Estimation in Hidden Markov Models with Intractable Likelihoods Using Sequential Monte Carlo
S. Yıldırım
Sumeetpal S. Singh
Thomas Dean
Ajay Jasra
74
36
0
17 Nov 2013
MCMC for doubly-intractable distributions
MCMC for doubly-intractable distributions
Iain Murray
Zoubin Ghahramani
D. MacKay
85
418
0
27 Jun 2012
MCMC Using Ensembles of States for Problems with Fast and Slow Variables
  such as Gaussian Process Regression
MCMC Using Ensembles of States for Problems with Fast and Slow Variables such as Gaussian Process Regression
Radford M. Neal
70
38
0
02 Jan 2011
A Backward Particle Interpretation of Feynman-Kac Formulae
A Backward Particle Interpretation of Feynman-Kac Formulae
P. Del Moral
Arnaud Doucet
Sumeetpal S. Singh
111
73
0
18 Aug 2009
On the utility of graphics cards to perform massively parallel
  simulation of advanced Monte Carlo methods
On the utility of graphics cards to perform massively parallel simulation of advanced Monte Carlo methods
Anthony Lee
C. Yau
M. Giles
Arnaud Doucet
Christopher C. Holmes
95
322
0
14 May 2009
The pseudo-marginal approach for efficient Monte Carlo computations
The pseudo-marginal approach for efficient Monte Carlo computations
Christophe Andrieu
Gareth O. Roberts
174
895
0
31 Mar 2009
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