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Importance Sampling and Necessary Sample Size: an Information Theory
  Approach

Importance Sampling and Necessary Sample Size: an Information Theory Approach

31 August 2016
D. Sanz-Alonso
ArXivPDFHTML

Papers citing "Importance Sampling and Necessary Sample Size: an Information Theory Approach"

4 / 4 papers shown
Title
Kernel Methods for Bayesian Elliptic Inverse Problems on Manifolds
Kernel Methods for Bayesian Elliptic Inverse Problems on Manifolds
J. Harlim
D. Sanz-Alonso
Ruiyi Yang
47
19
0
23 Oct 2019
The sample size required in importance sampling
The sample size required in importance sampling
S. Chatterjee
P. Diaconis
108
191
0
04 Nov 2015
Conditions for successful data assimilation
Conditions for successful data assimilation
A. Chorin
M. Morzfeld
86
51
0
11 Mar 2013
Curse-of-dimensionality revisited: Collapse of the particle filter in
  very large scale systems
Curse-of-dimensionality revisited: Collapse of the particle filter in very large scale systems
T. Bengtsson
Peter J. Bickel
Bo Li
107
421
0
20 May 2008
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