-52% OFFBayesian Missing Data Problems (English, Ming T. Tan | Guo-Liang Tian | Kai Wang Ng)
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Specifications
| Publisher | Chapman and Hall/CRC |
| Language | English |
| ISBN-13 | 9781420077490 |
| ISBN-10 | 142007749X |
| Author | Ming T. Tan | Guo-Liang Tian | Kai Wang Ng |
Product Description
Here on GlowMirror, you'll find Bayesian Missing Data Problems filed under Biology -- everything you need to know is covered below.
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
Book Insights
What You'll Learn
- ·In-depth exploration of topics covered in Bayesian Missing Data Problems
- ·Key concepts explained with clarity and practical examples
- ·Insights valuable for anyone studying or working in Biology
Who Should Read This
Students and professionals interested in Biology, as well as general readers looking to expand their knowledge.
Key Highlights
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy











