Code: 06671814
Bayesian Missing Data Problems
by 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)
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 ... more
- Language:
English - Binding: Hardback
- Number of pages: 346
Publisher: Taylor & Francis Ltd, 2009
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174.17 €
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Book synopsis
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.
Book details
Book category Books in English Mathematics & science Mathematics Probability & statistics
174.17 €
- Full title: 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
- Binding: Hardback
- Number of pages: 346
- EAN: 9781420077490
- ISBN: 9781420077490
- ID: 06671814
- Publisher: Taylor & Francis Ltd
- Weight: 628 g
- Dimensions: 243 × 164 × 24 mm
- Date of publishing: 26. August 2009
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