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2107.11820
Cited By
A Survey of Monte Carlo Methods for Parameter Estimation
25 July 2021
D. Luengo
Luca Martino
M. Bugallo
Victor Elvira
S. Särkkä
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Papers citing
"A Survey of Monte Carlo Methods for Parameter Estimation"
50 / 62 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
131
1
0
03 Jan 2025
A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning and ABC
F. Llorente
Luca Martino
Jesse Read
D. Delgado
OffRL
165
14
0
03 Jan 2025
Accelerating MCMC Algorithms
Christian P. Robert
Victor Elvira
Nicholas G. Tawn
Changye Wu
69
141
0
08 Apr 2018
Air Markov Chain Monte Carlo
C. Chimisov
Krzysztof Latuszynski
Gareth O. Roberts
69
11
0
28 Jan 2018
A Review of Multiple Try MCMC algorithms for Signal Processing
Luca Martino
53
81
0
27 Jan 2018
Parsimonious Adaptive Rejection Sampling
Luca Martino
30
11
0
13 Oct 2017
Metropolis Sampling
Luca Martino
Victor Elvira
67
25
0
15 Apr 2017
Pólya Urn Latent Dirichlet Allocation: a doubly sparse massively parallel sampler
Alexander Terenin
Måns Magnusson
Leif Jonsson
D. Draper
38
18
0
12 Apr 2017
Group Importance Sampling for Particle Filtering and MCMC
Luca Martino
Victor Elvira
G. Camps-Valls
146
66
0
10 Apr 2017
Measuring Sample Quality with Kernels
Jackson Gorham
Lester W. Mackey
155
223
0
06 Mar 2017
High-dimensional Filtering using Nested Sequential Monte Carlo
C. A. Naesseth
Fredrik Lindsten
Thomas B. Schon
75
23
0
29 Dec 2016
The Recycling Gibbs Sampler for Efficient Learning
Luca Martino
Victor Elvira
Gustau Camps-Valls
79
30
0
21 Nov 2016
Measuring Sample Quality with Diffusions
Jackson Gorham
Andrew B. Duncan
Sandra Jeanne Vollmer
Lester W. Mackey
91
117
0
21 Nov 2016
Cooperative Parallel Particle Filters for online model selection and applications to Urban Mobility
Luca Martino
Jesse Read
Victor Elvira
F. Louzada
68
131
0
25 Sep 2016
Heretical Multiple Importance Sampling
Victor Elvira
Luca Martino
D. Luengo
M. Bugallo
70
38
0
15 Sep 2016
GPU-accelerated Gibbs sampling: a case study of the Horseshoe Probit model
Alexander Terenin
Shawfeng Dong
D. Draper
60
40
0
15 Aug 2016
Independent Resampling Sequential Monte Carlo Algorithms
Roland Lamberti
Y. Petetin
F. Desbouvries
F. Septier
37
14
0
19 Jul 2016
Improving Population Monte Carlo: Alternative Weighting and Resampling Schemes
Victor Elvira
Luca Martino
D. Luengo
M. Bugallo
74
85
0
10 Jul 2016
Geometrically Tempered Hamiltonian Monte Carlo
A. Nishimura
David B. Dunson
39
22
0
04 Apr 2016
Effective Sample Size for Importance Sampling based on discrepancy measures
Luca Martino
Victor Elvira
F. Louzada
138
181
0
10 Feb 2016
A Kernelized Stein Discrepancy for Goodness-of-fit Tests and Model Evaluation
Qiang Liu
Jason D. Lee
Michael I. Jordan
113
486
0
10 Feb 2016
A Kernel Test of Goodness of Fit
Kacper P. Chwialkowski
Heiko Strathmann
Arthur Gretton
BDL
213
328
0
09 Feb 2016
Generalized Multiple Importance Sampling
Victor Elvira
Luca Martino
D. Luengo
M. Bugallo
98
145
0
10 Nov 2015
Statistically efficient thinning of a Markov chain sampler
Art B. Owen
107
54
0
27 Oct 2015
Asynchronous Gibbs Sampling
Alexander Terenin
Daniel P. Simpson
D. Draper
57
43
0
30 Sep 2015
Parallel Metropolis chains with cooperative adaptation
Luca Martino
Victor Elvira
D. Luengo
F. Louzada
48
4
0
26 Sep 2015
Adaptive Rejection Sampling with fixed number of nodes
Luca Martino
F. Louzada
65
12
0
26 Sep 2015
Adaptive, delayed-acceptance MCMC for targets with expensive likelihoods
Chris Sherlock
Andrew Golightly
D. Henderson
85
55
0
01 Sep 2015
Issues in the Multiple Try Metropolis mixing
Luca Martino
F. Louzada
31
23
0
18 Aug 2015
Optimal approximating Markov chains for Bayesian inference
J. Johndrow
Jonathan C. Mattingly
Sayan Mukherjee
David B. Dunson
88
31
0
13 Aug 2015
Orthogonal parallel MCMC methods for sampling and optimization
Luca Martino
Victor Elvira
D. Luengo
J. Corander
F. Louzada
74
74
0
30 Jul 2015
Gradient Importance Sampling
Ingmar Schuster
74
25
0
21 Jul 2015
Parallelizing MCMC with Random Partition Trees
Xiangyu Wang
Fangjian Guo
Katherine A. Heller
David B. Dunson
115
76
0
10 Jun 2015
Measuring Sample Quality with Stein's Method
Jackson Gorham
Lester W. Mackey
158
225
0
09 Jun 2015
Efficient Multiple Importance Sampling Estimators
Victor Elvira
Luca Martino
D. Luengo
M. Bugallo
82
75
0
20 May 2015
Layered Adaptive Importance Sampling
Luca Martino
Victor Elvira
D. Luengo
J. Corander
77
108
0
18 May 2015
On Markov chain Monte Carlo methods for tall data
Rémi Bardenet
Arnaud Doucet
Chris Holmes
73
279
0
11 May 2015
A proof of uniform convergence over time for a distributed particle filter
Joaquín Míguez
M. A. Vázquez
84
22
0
05 Apr 2015
Stability of Noisy Metropolis-Hastings
F. Medina-Aguayo
Anthony Lee
Gareth O. Roberts
119
41
0
24 Mar 2015
Nested Sequential Monte Carlo Methods
C. A. Naesseth
Fredrik Lindsten
Thomas B. Schon
461
84
0
09 Feb 2015
Optimizing The Integrator Step Size for Hamiltonian Monte Carlo
M. Betancourt
Simon Byrne
Mark Girolami
100
77
0
24 Nov 2014
Big Learning with Bayesian Methods
Jun Zhu
Jianfei Chen
Wenbo Hu
Bo Zhang
BDL
471
84
0
24 Nov 2014
Convergence properties of weighted particle islands with application to the double bootstrap algorithm
P. Del Moral
Eric Moulines
Jimmy Olsson
Christelle Vergé
40
20
0
15 Oct 2014
Combining Particle MCMC with Rao-Blackwellized Monte Carlo Data Association for Parameter Estimation in Multiple Target Tracking
Juho Kokkala
Simo Särkkä
68
24
0
30 Sep 2014
Firefly Monte Carlo: Exact MCMC with Subsets of Data
D. Maclaurin
Ryan P. Adams
155
179
0
22 Mar 2014
Particle Gibbs with Ancestor Sampling
Fredrik Lindsten
Michael I. Jordan
Thomas B. Schon
128
252
0
03 Jan 2014
Parallelizing MCMC via Weierstrass Sampler
Xiangyu Wang
David B. Dunson
105
138
0
17 Dec 2013
Asymptotically Exact, Embarrassingly Parallel MCMC
Willie Neiswanger
Chong-Jun Wang
Eric Xing
FedML
93
330
0
19 Nov 2013
On the role of interaction in sequential Monte Carlo algorithms
N. Whiteley
Anthony Lee
K. Heine
87
69
0
11 Sep 2013
Fully Adaptive Gaussian Mixture Metropolis-Hastings Algorithm
D. Luengo
Luca Martino
113
35
0
01 Dec 2012
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