Bayesian missing data problems: EM, data augmentation and noniterative computation

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. Ap...

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Detalles Bibliográficos
Autores principales: Tan, Ming T, Tian, Guo-Liang, Ng, Kai Wang
Lenguaje:eng
Publicado: CRC Press 2009
Materias:
Mathematical Physics and Mathematics
Acceso en línea:http://cds.cern.ch/record/2024634

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