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Accelerating pseudo-marginal Metropolis-Hastings by correlating
  auxiliary variables

Accelerating pseudo-marginal Metropolis-Hastings by correlating auxiliary variables

17 November 2015
J. Dahlin
Fredrik Lindsten
J. Kronander
Thomas B. Schon
ArXiv (abs)PDFHTML

Papers citing "Accelerating pseudo-marginal Metropolis-Hastings by correlating auxiliary variables"

11 / 11 papers shown
Title
Bayesian optimisation for fast approximate inference in state-space
  models with intractable likelihoods
Bayesian optimisation for fast approximate inference in state-space models with intractable likelihoods
J. Dahlin
M. Villani
Thomas B. Schon
41
6
0
23 Jun 2015
Quasi-Newton particle Metropolis-Hastings
Quasi-Newton particle Metropolis-Hastings
J. Dahlin
Fredrik Lindsten
Thomas B. Schon
126
9
0
12 Feb 2015
Augmentation Schemes for Particle MCMC
Augmentation Schemes for Particle MCMC
Paul Fearnhead
Loukia Meligkotsidou
63
19
0
29 Aug 2014
Approximate Bayesian Computation for a Class of Time Series Models
Approximate Bayesian Computation for a Class of Time Series Models
Ajay Jasra
AI4TS
145
30
0
01 Jan 2014
Particle Metropolis-Hastings using gradient and Hessian information
Particle Metropolis-Hastings using gradient and Hessian information
J. Dahlin
Fredrik Lindsten
Thomas B. Schon
88
47
0
04 Nov 2013
On the efficiency of pseudo-marginal random walk Metropolis algorithms
On the efficiency of pseudo-marginal random walk Metropolis algorithms
Chris Sherlock
Alexandre Hoang Thiery
Gareth O. Roberts
Jeffrey S. Rosenthal
85
191
0
27 Sep 2013
MCMC Methods for Functions: Modifying Old Algorithms to Make Them Faster
MCMC Methods for Functions: Modifying Old Algorithms to Make Them Faster
S. Cotter
Gareth O. Roberts
Andrew M. Stuart
D. White
99
480
0
03 Feb 2012
Spectral gaps for a Metropolis-Hastings algorithm in infinite dimensions
Spectral gaps for a Metropolis-Hastings algorithm in infinite dimensions
Martin Hairer
Andrew M. Stuart
Sebastian J. Vollmer
100
188
0
06 Dec 2011
Approximate Bayesian Computational methods
Approximate Bayesian Computational methods
Jean-Michel Marin
Pierre Pudlo
Christian P. Robert
Robin J. Ryder
224
866
0
05 Jan 2011
Zero Variance Markov Chain Monte Carlo for Bayesian Estimators
Zero Variance Markov Chain Monte Carlo for Bayesian Estimators
Antonietta Mira
R. Solgi
D. Imparato
94
89
0
14 Dec 2010
The pseudo-marginal approach for efficient Monte Carlo computations
The pseudo-marginal approach for efficient Monte Carlo computations
Christophe Andrieu
Gareth O. Roberts
181
895
0
31 Mar 2009
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