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Tools for Statistical Inference: Observed Data and Data Augmentation Methods: 67 (Lecture Notes in Statistics) - Tapa blanda
Sinopsis
From the reviews: The purpose of the book under review is to give a survey of methods for the Bayesian or likelihood-based analysis of data. The author distinguishes between two types of methods: the observed data methods and the data augmentation ones. The observed data methods are applied directly to the likelihood or posterior density of the observed data. The data augmentation methods make use of the special "missing" data structure of the problem. They rely on an augmentation of the data which simplifies the likelihood or posterior density. #Zentralblatt für Mathematik#
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Reseña del editor
From the reviews: The purpose of the book under review is to give a survey of methods for the Bayesian or likelihood-based analysis of data. The author distinguishes between two types of methods: the observed data methods and the data augmentation ones. The observed data methods are applied directly to the likelihood or posterior density of the observed data. The data augmentation methods make use of the special "missing" data structure of the problem. They rely on an augmentation of the data which simplifies the likelihood or posterior density. #Zentralblatt für Mathematik#
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Tools for Statistical Inference: Observed Data and Data Augmentation Methods (Lecture Notes in Statistics)
Publicado por
Springer-Verlag, 1991
ISBN 10: 038797525X
ISBN 13: 9780387975252
Antiguo o usado
Tapa blanda
Librería: Anybook.com, Lincoln, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,250grams, ISBN:038797525X. Nº de ref. del artículo: 9638160
Cantidad disponible: 1 disponibles