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Bayesian Missing Data Problems: EM, Data Augmentation and Noniterative Computation 9.0%OFF

Bayesian Missing Data Problems: EM, Data Augmentation and Noniterative Computation

by Ming T. Tan, Guo-liang Tian and Kai Wang Ng

  • ISBN

    :  

    9781420077490

  • Publisher

    :  

    Chapman & Hall/crc

  • Subject

    :  

    Medical Study & Revision Guides & Reference Material

  • Binding

    :  

    Hardcover

  • Year

    :  

    2009

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  • Description

    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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