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Rethinking the Effective Sample Size
v1v2 (latest)

Rethinking the Effective Sample Size

11 September 2018
Victor Elvira
Luca Martino
Christian P. Robert
ArXiv (abs)PDFHTML

Papers citing "Rethinking the Effective Sample Size"

15 / 15 papers shown
Title
Compressed Monte Carlo with application in particle filtering
Compressed Monte Carlo with application in particle filtering
Luca Martino
Victor Elvira
46
36
0
18 Jul 2021
Advances in Importance Sampling
Advances in Importance Sampling
Victor Elvira
Luca Martino
AI4TS
86
107
0
10 Feb 2021
Importance Gaussian Quadrature
Importance Gaussian Quadrature
Victor Elvira
Luca Martino
Pau Closas
72
35
0
09 Jan 2020
Importance sampling the union of rare events with an application to
  power systems analysis
Importance sampling the union of rare events with an application to power systems analysis
Art B. Owen
Yury Maximov
Michael Chertkov
179
43
0
19 Oct 2017
Group Importance Sampling for Particle Filtering and MCMC
Group Importance Sampling for Particle Filtering and MCMC
Luca Martino
Victor Elvira
G. Camps-Valls
146
66
0
10 Apr 2017
Improving Population Monte Carlo: Alternative Weighting and Resampling
  Schemes
Improving Population Monte Carlo: Alternative Weighting and Resampling Schemes
Victor Elvira
Luca Martino
D. Luengo
M. Bugallo
74
85
0
10 Jul 2016
Effective Sample Size for Importance Sampling based on discrepancy
  measures
Effective Sample Size for Importance Sampling based on discrepancy measures
Luca Martino
Victor Elvira
F. Louzada
134
181
0
10 Feb 2016
Importance Sampling: Intrinsic Dimension and Computational Cost
Importance Sampling: Intrinsic Dimension and Computational Cost
S. Agapiou
O. Papaspiliopoulos
D. Sanz-Alonso
Andrew M. Stuart
94
162
0
19 Nov 2015
Generalized Multiple Importance Sampling
Generalized Multiple Importance Sampling
Victor Elvira
Luca Martino
D. Luengo
M. Bugallo
91
145
0
10 Nov 2015
Pareto Smoothed Importance Sampling
Pareto Smoothed Importance Sampling
Aki Vehtari
Daniel Simpson
Andrew Gelman
Yuling Yao
Jonah Gabry
85
241
0
09 Jul 2015
Layered Adaptive Importance Sampling
Layered Adaptive Importance Sampling
Luca Martino
Victor Elvira
D. Luengo
J. Corander
70
108
0
18 May 2015
Sequential Monte Carlo as Approximate Sampling: bounds, adaptive
  resampling via $\infty$-ESS, and an application to Particle Gibbs
Sequential Monte Carlo as Approximate Sampling: bounds, adaptive resampling via ∞\infty∞-ESS, and an application to Particle Gibbs
Jonathan H. Huggins
Daniel M. Roy
84
19
0
03 Mar 2015
On the role of interaction in sequential Monte Carlo algorithms
On the role of interaction in sequential Monte Carlo algorithms
N. Whiteley
Anthony Lee
K. Heine
76
69
0
11 Sep 2013
A population Monte Carlo scheme with transformed weights and its
  application to stochastic kinetic models
A population Monte Carlo scheme with transformed weights and its application to stochastic kinetic models
E. Koblents
Joaquín Míguez
71
77
0
28 Aug 2012
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
250
304
0
23 Oct 2007
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