Bayesian Missing Data Problems

Bayesian Missing Data Problems

Auteur: Kai Wang Ng, Guo-Liang Tian, Ming T. Tan
Éditeur: CRC Press
Édition: 1
Année de publication: 2009
ISBN: 9781420077490

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Bayesian Missing Data Problems: EM, Data Augmentation and Noniterative Computation presents solutions to missing data problems through explicit or noniterative sampling calculation of Bayesian posteriors. The methods are based on the inverse Bayes formulae discovered by one of the author in 1995. Applying the Bayesian approach to important real-wor

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