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Bayesian Missing Data Problems - Tan, Ming T. a Tian, Guo-Liang a Ng, Kai Wang

Presents solutions to missing data problems through explicit or noniterative sampling calculation of Bayesian posteriors, based on the inverse Bayes formulae. This work focuses on exact numerical solutions, a conditional sampling approach via data augmentation, and a noniterative sampling approach via EM-type algorithms.

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