Tools for Statistical Inference Observed Data and Data Augmentation Methods

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Synopsis

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#

Book details

Edition:
1991
Series:
Lecture Notes in Statistics (Book 67)
Author:
Martin A. Tanner
ISBN:
9781468405101
Related ISBNs:
9780387975252
Publisher:
Springer New York
Pages:
N/A
Reading age:
Not specified
Includes images:
No
Date of addition:
2021-01-20
Usage restrictions:
Copyright
Copyright date:
1991
Copyright by:
N/A 
Adult content:
No
Language:
English
Categories:
Mathematics and Statistics, Medicine, Nonfiction