Bayesian Missing Data Problems: EM, Data Augmentation and Noniterative Computation [Print Replica] [Format Kindle] Author: Tan Ming T. | Language: English | ISBN:
B008I9VG0I | Format: PDF, EPUB
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Présentation de l'éditeur
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 data augmentation, and a noniterative sampling approach via EM-type algorithms. After introducing the missing data problems, Bayesian approach, and posterior computation, the book succinctly describes EM-type algorithms, Monte Carlo simulation, numerical techniques, and optimization methods. It then gives exact posterior solutions for problems, such as nonresponses in surveys and cross-over trials with missing values. It also provides noniterative posterior sampling solutions for problems, such as contingency tables with supplemental margins, aggregated responses in surveys, zero-inflated Poisson, capture-recapture models, mixed effects models, right-censored regression model, and constrained parameter models. The text concludes with a discussion on compatibility, a fundamental issue in Bayesian inference. This book offers a unified treatment of an array of statistical problems that involve missing data and constrained parameters. It shows how Bayesian procedures can be useful in solving these problems.
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Bayesian Missing Data Problems EM Data Augmentation Bayesian Missing Data Problems EM Data Augmentation and Noniterative Computation Chapman Hall CRC Biostatistics Series Print Replica Versi n Kindle Bayesian Missing Data Problems EM Data Augmentation Bayesian Missing Data Problems EM Data Augmentation and Noniterative Computation presents solutions to missing data problems through explicit or noniterative Bayesian Missing Data Problems EM Data Augmentation Bayesian Missing Data Problems EM Data Augmentation and Noniterative Computation Chapman Hall CRC Biostatistics Series Print Replica Formato Kindle Bayesian Missing Data Problems EM Data Augmentation Title Bayesian Missing Data Problems EM Data Augmentation and Noniterative Computation Authors Tan MT Tian GL Ng KW Keywords Bayesian statistical
As someone who is vexed with missing and censored data, this text is a well organized and clear exposition of the subject.
Par R Frey
- Publié sur Amazon.com
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