Skip to main content

Tools for Statistical Inference

Methods for the Exploration of Posterior Distributions and Likelihood Functions

  • Textbook
  • © 1996
  • Latest edition

Overview

Part of the book series: Springer Series in Statistics (SSS)

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

Access this book

eBook USD 9.99 USD 99.00
Discount applied Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 129.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 129.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

About this book

This book provides a unified introduction to a variety of computational algorithms for Bayesian and likelihood inference. In this third edition, I have attempted to expand the treatment of many of the techniques discussed. I have added some new examples, as well as included recent results. Exercises have been added at the end of each chapter. Prerequisites for this book include an understanding of mathematical statistics at the level of Bickel and Doksum (1977), some understanding of the Bayesian approach as in Box and Tiao (1973), some exposure to statistical models as found in McCullagh and NeIder (1989), and for Section 6. 6 some experience with condi­ tional inference at the level of Cox and Snell (1989). I have chosen not to present proofs of convergence or rates of convergence for the Metropolis algorithm or the Gibbs sampler since these may require substantial background in Markov chain theory that is beyond the scope of this book. However, references to these proofs are given. There has been an explosion of papers in the area of Markov chain Monte Carlo in the past ten years. I have attempted to identify key references-though due to the volatility of the field some work may have been missed.

Similar content being viewed by others

Keywords

Table of contents (6 chapters)

Authors and Affiliations

  • Department of Statistics, Northwestern University, Evanston, USA

    Martin A. Tanner

Bibliographic Information

  • Book Title: Tools for Statistical Inference

  • Book Subtitle: Methods for the Exploration of Posterior Distributions and Likelihood Functions

  • Authors: Martin A. Tanner

  • Series Title: Springer Series in Statistics

  • DOI: https://doi.org/10.1007/978-1-4612-4024-2

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag New York, Inc. 1996

  • Hardcover ISBN: 978-0-387-94688-7Published: 26 June 1996

  • Softcover ISBN: 978-1-4612-8471-0Published: 27 September 2011

  • eBook ISBN: 978-1-4612-4024-2Published: 06 December 2012

  • Series ISSN: 0172-7397

  • Series E-ISSN: 2197-568X

  • Edition Number: 3

  • Number of Pages: VIII, 208

  • Topics: Applications of Mathematics

Publish with us