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

chapter 1|34 pages


chapter 3|24 pages

Exact Solutions

chapter 4|38 pages

Discrete Missing Data Problems

chapter 6|30 pages

Constrained Parameter Problems

chapter 7|32 pages

Checking Compatibility and Uniqueness