Marathon: An Open Source Software Library for the Analysis of Markov-Chain Monte Carlo Algorithms

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Bibliografiske detaljer
Udgivet i:	PLoS One vol. 11, no. 1 (Jan 2016), p. e0147935
Hovedforfatter:	Rechner, Steffen
Andre forfattere:	Berger, Annabell
Udgivet:	Public Library of Science
Fag:	American Mathematical Society United States > US Germany Monte Carlo simulation Computer programs Applied mathematics Graphs Markov chains Computer science Upper bounds Algorithms Open source software Economic Methods Sampling Libraries Probability distribution Computer simulation Markov analysis Software
Online adgang:	Citation/Abstract Full Text Full Text - PDF
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Beskrivelse
Resumen:	We present the software library marathon, which is designed to support the analysis of sampling algorithms that are based on the Markov-Chain Monte Carlo principle. The main application of this library is the computation of properties of so-called state graphs, which represent the structure of Markov chains. We demonstrate applications and the usefulness of marathon by investigating the quality of several bounding methods on four well-known Markov chains for sampling perfect matchings and bipartite graphs. In a set of experiments, we compute the total mixing time and several of its bounds for a large number of input instances. We find that the upper bound gained by the famous canonical path method is often several magnitudes larger than the total mixing time and deteriorates with growing input size. In contrast, the spectral bound is found to be a precise approximation of the total mixing time.
ISSN:	1932-6203
DOI:	10.1371/journal.pone.0147935
Fuente:	Health & Medical Collection