Computational methods for Bayesian model choice Export

@article{citeulike:5301389, abstract = {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.}, archivePrefix = {arXiv}, author = {Robert, Christian P. and Wraith, Darren}, citeulike-article-id = {5301389}, citeulike-linkout-0 = {http://arxiv.org/abs/0907.5123}, citeulike-linkout-1 = {http://arxiv.org/pdf/0907.5123}, day = {29}, eprint = {0907.5123}, keywords = {hypothesis\_testing}, month = {Jul}, posted-at = {2009-07-30 12:25:06}, priority = {2}, title = {Computational methods for Bayesian model choice}, url = {http://arxiv.org/abs/0907.5123}, year = {2009} }

TY - JOUR ID - citeulike:5301389 L3 - citeulike-article-id:5301389 N2 - 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. TI - Computational methods for Bayesian model choice KW - hypothesis_testing AU - Robert, Christian AU - Wraith, Darren PY - 2009/Jul/29/ UR - http://arxiv.org/abs/0907.5123 ER -