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Bayesian Missing Data Problems : EM, Data Augmentation and Noniterative Computation - Ming T. Tan

Bayesian Missing Data Problems

EM, Data Augmentation and Noniterative Computation

By: Ming T. Tan, Guo-Liang Tian, Kai Wang Ng

eText | 26 August 2009 | Edition Number 1

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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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Published: 4th November 2019

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