Bayesian Missing Data Problems: EM, Data Augmentation and Noniterative Computation

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

Book Overview

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-world problems, the authors focus on exact numerical solutions, a conditional sampling...

• Format: Paperback
• Language: English
• ISBN: 0367385309
• ISBN13: 9780367385309
• Release Date: November 2019
• Publisher: CRC Press
• Length: 346 Pages
• Weight: 1.55 lbs.
• Dimensions: 0.8" x 6.1" x 9.2"