Bayesian Model Choice for Epidemic Models with Missing Data

来源 :第十届泛华统计协会国际会议 | 被引量 : 0次 | 上传用户：zr0156268

【摘要】

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　　In this paper,we consider the problem of choosing,within a Bayesian modelling framework,from a nite speci ed set of stochastic epidemic models given only t

【出处】

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第十届泛华统计协会国际会议

【发表日期】

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2016年12期

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　　In this paper,we consider the problem of choosing,within a Bayesian modelling framework,from a nite speci ed set of stochastic epidemic models given only temporal removal data.Such selection is based upon two important Bayesian model selection methods,namely Bayes factors via our missing-data extension of the power posterior method,and the deviance information criterion for missing data models(DIC),with more emphasis on the former.

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Bayesian Model Choice for Epidemic Models with Missing Data

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