Skip to main content
SpringerLink
Log in

Tools for Statistical Inference

Observed Data and Data Augmentation Methods

  • Book
  • © 1991

Overview

Authors:
  1. Martin A. Tanner

    1. Department of Biostatistics, University of Rochester Medical Center, Rochester, USA

    View author publications

    You can also search for this author in PubMed   Google Scholar

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

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 74.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (6 chapters)

  1. Front Matter

    Pages I-VI
    Download chapter PDF

  2. Introduction to Problems & Techniques

    • Martin A. Tanner
    Pages 1-5

  3. Observed Data Techniques-Normal Approximation

    • Martin A. Tanner
    Pages 6-15

  4. Observed Data Techniques - Approximations Based on Numerical Integration, Laplace Expansions, Monte Carlo and Importance Sampling

    • Martin A. Tanner
    Pages 16-29

  5. The EM Algorithm

    • Martin A. Tanner
    Pages 30-46

  6. The Data Augmentation Algorithm

    • Martin A. Tanner
    Pages 47-88

  7. The Gibbs Sampler

    • Martin A. Tanner
    Pages 89-107

  8. Back Matter

    Pages 108-113
    Download chapter PDF
Back to top

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

Publish with us

Policies and ethics

Back to top

Search

Navigation