On optimal selection of summary statistics for approximate Bayesian computation

How best to summarize large and complex datasets is a problem that arises in many areas of science. We approach it from the point of view of seeking data summaries that minimize the average squared error of the posterior distribution for a parameter of interest under approximate Bayesian computation...

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Veröffentlicht in:	Statistical applications in genetics and molecular biology Jg. 9; S. Article34
Hauptverfasser:	Nunes, Matthew A, Balding, David J
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Germany 01.01.2010
Schlagworte:	Bayes Theorem Computational Biology - methods Computer Simulation Databases, Genetic Haplotypes - genetics Models, Genetic
ISSN:	1544-6115, 1544-6115
Online-Zugang:	Weitere Angaben
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