Bayesian Missing Data ProblemsAuthor :
Hardback
Published : Wednesday 26 August 2009
Description
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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