Skip to main content
PBS logo
 
 

Search - Bayesian Missing Data Problems: EM, Data Augmentation and Noniterative Computation (Chapman & Hall/CRC Biostatistics Series)

Bayesian Missing Data Problems: EM, Data Augmentation and Noniterative Computation (Chapman & Hall/CRC Biostatistics Series)
Bayesian Missing Data Problems EM Data Augmentation and Noniterative Computation - Chapman & Hall/CRC Biostatistics Series
Author: Ming T. Tan, Guo-Liang Tian, Kai Wang Ng
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 t...  more »
ISBN-13: 9781420077490
ISBN-10: 142007749X
Publication Date: 8/26/2009
Pages: 344
Rating:
  ?

0 stars, based on 0 rating
Publisher: Chapman & Hall
Book Type: Hardcover
Members Wishing: 0
Reviews: Amazon | Write a Review


Genres: