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Bayesian statistics / Econometrics / Expectation–maximization algorithm / Missing data / Maximum likelihood / Confidence interval / Gamma distribution / Likelihood function / Hidden Markov model / Statistics / Estimation theory / Statistical theory


Approximate Bayesian computation for the parameters of PRISM programs James Cussens Department of Computer Science & York Centre for Complex Systems Analysis University of York Heslington, York, YO10 5DD, UK. .
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Document Date: 2010-08-26 11:15:09

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City

Zhou / York / Springer / /

Company

Toni / Monte Carlo / /

Country

United Kingdom / /

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Facility

Complex Systems Analysis University of York Heslington / /

IndustryTerm

dynamical systems / cases computing / /

Organization

James Cussens Department of Computer Science / Computer Science & York Centre / National Academy of Science / Complex Systems Analysis University of York Heslington / /

Person

Bt / /

ProgrammingLanguage

Prolog / ABC / /

ProvinceOrState

N.F. / New York / /

PublishedMedium

Journal of the Royal Society Interface / Journal of Artificial Intelligence Research / /

Technology

built-in EM algorithm / simplest ABC algorithm / The ABC SMC algorithm / artificial intelligence / ABC SMC algorithm / /

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