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Importance sampling

Known as: IS 
In statistics, importance sampling is a general technique for estimating properties of a particular distribution, while only having samples generated… 
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Related topics

Related topics

31 relations
Auxiliary field Monte CarloBayesian networkComputational physicsComputer bridge

Broader (1)

Variance reduction

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
Dual lattice representations for O (N) and CP (N - 1) models with a chemical potential
2012
2012
Causal mechanisms of the deep chlorophyll maximum in Lake Superior: A numerical modeling investigation
Highly Cited
2010
Highly Cited
2010
Constructing Short-Length Irregular LDPC Codes with Low Error Floor
Trapping sets (TSs) are known to cause error floors in regular and irregular low-density parity-check (LDPC) codes. By avoiding… 
2009
2009
Pap Ndiaye, La Condition noire. Essai sur une minorité française. Paris, Calmann-Lévy, 2008
Si de nombreux facteurs ont contribue a donner a la question noire une reelle importance dans la France d’aujourd’hui, les… 
Highly Cited
2008
Highly Cited
2008
A Functional Monte Carlo Method for k-Eigenvalue Problems
Abstract In Monte Carlo simulations of k-eigenvalue problems for optically thick fissile systems with a high dominance ratio, the… 
Highly Cited
2006
Highly Cited
2006
Multi-criteria sequencing problem for a mixed-model assembly line in a JIT production system
2005
2005
Impact of the Gaussian Approximation on the Performance of the Probabilistic Data Association MIMO Decoder
The probabilistic data association (PDA) decoder is investigated for use in coded multiple-input multiple-output (MIMO) systems… 
2004
2004
A Decision Support System For Supplier Selection Process
Today's global business environment, characterized by unprecedented competitive pressures and sophisticated customers that demand… 
Highly Cited
2002
Highly Cited
2002
Reliability analysis of automotive body-door subsystem
Highly Cited
1972
Highly Cited
1972
Efficient Computer Simulation of Polymer Conformation. I. Geometric Properties of the Hard-Sphere Model
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