
Bayesian Missing Data Problems (English, Ming T. Tan | Guo-Liang Tian | Kai Wang Ng)
by Ming T. Tan | Guo-Liang Tian | Kai Wang Ng
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Bayesian Missing Data Problems by Ming T. Tan | Guo-Liang Tian | Kai Wang Ng is listed under Biology on BookBajar. Full details, specifications and reader reviews are below.
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About the Book
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 approach via dat…
ISBN: 9781420077490
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What This Book Covers
- ·The main subject matter of Bayesian Missing Data Problems
- ·Ideas and detail relevant to Biology
- ·Context that helps make sense of the material as a whole
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Readers with an interest in Biology, from students to hobbyists.
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