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Tools for Statistical Inference

Observed Data and Data Augmentation Methods

  • Book
  • © 1991

Overview

Part of the book series: Lecture Notes in Statistics (LNS, volume 67)

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Table of contents (6 chapters)

Keywords

About this book

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#

Authors and Affiliations

  • Department of Biostatistics, University of Rochester Medical Center, Rochester, USA

    Martin A. Tanner

Bibliographic Information

  • Book Title: Tools for Statistical Inference

  • Book Subtitle: Observed Data and Data Augmentation Methods

  • Authors: Martin A. Tanner

  • Series Title: Lecture Notes in Statistics

  • DOI: https://doi.org/10.1007/978-1-4684-0510-1

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 1991

  • eBook ISBN: 978-1-4684-0510-1Published: 06 December 2012

  • Series ISSN: 0930-0325

  • Series E-ISSN: 2197-7186

  • Edition Number: 1

  • Number of Pages: VI, 110

  • Topics: Statistics for Life Sciences, Medicine, Health Sciences

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