Computational methods for Bayesian model choice

Details Computational methods for Bayesian model choice Computational methods for Bayesian model choice

2009-07-29

arxiv.org/abs/0907.5123v1

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12 pages, 4 figures, submitted to the proceedings of MaxEnt 2009, July 05-10, 2009, to be published by the American Institute

Scientific paper

In this note, we shortly survey some recent approaches on the approximation
of the Bayes factor used in Bayesian hypothesis testing and in Bayesian model
choice. In particular, we reassess importance sampling, harmonic mean sampling,
and nested sampling from a unified perspective.

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