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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Vydané v:	Statistical applications in genetics and molecular biology Ročník 9; s. Article34
Hlavní autori:	Nunes, Matthew A, Balding, David J
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Germany 01.01.2010
Predmet:	Bayes Theorem Computational Biology - methods Computer Simulation Databases, Genetic Haplotypes - genetics Models, Genetic
ISSN:	1544-6115, 1544-6115
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