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Bayesian Missing Data Problems
Language
English
English
Book
Hardback
Presents solutions to missing data problems through explicit or noniterative sampling calculation of...
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Libristo code: 06671814
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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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About the book
Full name
Bayesian Missing Data Problems
Author
Tan, Ming T. (University of Maryland, Baltimore, Maryland, USA), Guo-Liang (The University of Hong Kong) Tian, Ng, Kai Wang (The University of Hong Kong, People's Republic of China)
Language
English
English
Binding
Book - Hardback
Date of issue
2009
Number of pages
346
EAN
9781420077490
ISBN
9781420077490
Libristo code
06671814
Publishers
Taylor & Francis Ltd
Weight
628
Dimensions
164 x 243 x 24
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