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Stochastic Models
Article
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SSRN Electronic Journal
Article . 2011 . Peer-reviewed
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Stochastic Models
Article . 2012 . Peer-reviewed
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https://dx.doi.org/10.48550/ar...
Article . 2011
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Article . 2012
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Article . 2012
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Research . 2011
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Counting with Combined Splitting and Capture-Recapture Methods

Authors: Dupuis, Paul; Kaynar, Baher; Ridder, Ad; Rubinstein, Reuven; Vaisman, Radislav;

Counting with Combined Splitting and Capture-Recapture Methods

Abstract

We apply the splitting method to three well-known counting problems, namely 3-SAT, random graphs with prescribed degrees, and binary contingency tables. We present an enhanced version of the splitting method based on the capture-recapture technique, and show by experiments the superiority of this technique for SAT problems in terms of variance of the associated estimators, and speed of the algorithms.

25 pages

Countries
Australia, Netherlands
Keywords

FOS: Computer and information sciences, Stichprobenverfahren, Counting, ddc:330, Capture Recapture Data, Probability (math.PR), 2611 Modelling and Simulation, Statistics - Computation, Gibbs Sampler, Algorithmus, Splitting, C63, 2604 Applied Mathematics, Counting, Gibbs Sampler, Capture-Recapture, Splitting, FOS: Mathematics, Capture-Recapture, C15, 2613 Statistics and Probability, Theorie, Mathematics - Probability, Computation (stat.CO), jel: jel:C63, jel: jel:C15

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
bronze