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Layered Adaptive Importance Sampling

Layered Adaptive Importance Sampling

18 May 2015
Luca Martino
Victor Elvira
D. Luengo
J. Corander
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Papers citing "Layered Adaptive Importance Sampling"

15 / 15 papers shown
Title
Adaptive posterior distributions for uncertainty analysis of covariance matrices in Bayesian inversion problems for multioutput signals
E. Curbelo
Luca Martino
F. Llorente
D. Delgado-Gomez
89
1
0
03 Jan 2025
Efficient Multiple Importance Sampling Estimators
Efficient Multiple Importance Sampling Estimators
Victor Elvira
Luca Martino
D. Luengo
M. Bugallo
38
75
0
20 May 2015
Markov Interacting Importance Samplers
Markov Interacting Importance Samplers
Eduardo F. Mendes
Marcel Scharth
Robert Kohn
VLM
49
3
0
25 Feb 2015
Initializing adaptive importance sampling with Markov chains
Initializing adaptive importance sampling with Markov chains
F. Beaujean
Allen Caldwell
43
22
0
29 Apr 2013
Fully Adaptive Gaussian Mixture Metropolis-Hastings Algorithm
Fully Adaptive Gaussian Mixture Metropolis-Hastings Algorithm
D. Luengo
Luca Martino
75
35
0
01 Dec 2012
Sequentially interacting Markov chain Monte Carlo methods
Sequentially interacting Markov chain Monte Carlo methods
A. Brockwell
P. Del Moral
Arnaud Doucet
47
56
0
12 Nov 2012
Consistency of the Adaptive Multiple Importance Sampling
Consistency of the Adaptive Multiple Importance Sampling
Jean-Michel Marin
Pierre Pudlo
Mohammed Sedki University Montpellier 2 - I3M
50
35
0
12 Nov 2012
Sequential Monte Carlo on large binary sampling spaces
Sequential Monte Carlo on large binary sampling spaces
Christian Schafer
Nicolas Chopin
BDL
62
110
0
31 Jan 2011
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
58
38
0
02 Jan 2011
Using parallel computation to improve Independent Metropolis--Hastings
  based estimation
Using parallel computation to improve Independent Metropolis--Hastings based estimation
Pierre E. Jacob
Christian P. Robert
Murray H. Smith
65
62
0
08 Oct 2010
An Adaptive Sequential Monte Carlo Sampler
An Adaptive Sequential Monte Carlo Sampler
Paul Fearnhead
Benjamin M. Taylor
61
82
0
07 May 2010
Computing the Bayesian Factor from a Markov chain Monte Carlo Simulation
  of the Posterior Distribution
Computing the Bayesian Factor from a Markov chain Monte Carlo Simulation of the Posterior Distribution
M. Weinberg
89
64
0
09 Nov 2009
Adaptive Multiple Importance Sampling
Adaptive Multiple Importance Sampling
J. Cornuet
Jean-Michel Marin
Antonietta Mira
Christian P. Robert
69
263
0
07 Jul 2009
Adaptive Importance Sampling in General Mixture Classes
Adaptive Importance Sampling in General Mixture Classes
Olivier Cappé
Randal Douc
Arnaud Guillin
Jean-Michel Marin
Christian P. Robert
137
305
0
23 Oct 2007
Convergence of adaptive mixtures of importance sampling schemes
Convergence of adaptive mixtures of importance sampling schemes
Randal Douc
Arnaud Guillin
Jean-Michel Marin
Christian P. Robert
555
114
0
06 Aug 2007
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