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Case Studies in Bayesian Statistics

  • Conference proceedings
  • © 1993

Overview

Editors:
  1. Constantine Gatsonis

    1. Department of Health Care Policy, Harvard Medical School, Boston, USA

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  2. James S. Hodges

    1. RAND, Santa Monica, USA

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  3. Robert E. Kass

    1. Department of Statistics, Carnegie-Mellon University, Pittsburgh, USA

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  4. Nozer D. Singpurwalla

    1. Department of Operations Research, The George Washington University, USA

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Part of the book series: Lecture Notes in Statistics (LNS, volume 83)

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Table of contents (16 papers)

  1. Front Matter

    Pages i-xi
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  2. Invited Papers

    1. Front Matter

      Pages xiii-xiii
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    2. Bayesian Estimation of Fuel Economy Potential Due to Technology Improvements

      • Richard W. Andrews, James O. Berger, Murray H. Smith
      Pages 1-77

    3. Bayes Analysis of Model-Based Methods for Nonignorable Nonresponse in the Harvard Medical Practice Survey

      • Sybil L. Crawford, William G. Johnson, Nan M. Laird
      Pages 78-117

    4. Use of Prior Information to Estimate Costs in a Sewerage Operation

      • Anthony O’Hagan, Frank S. Wells
      Pages 118-162

    5. Estimation of Bowhead Whale, Balaena mysticetus, Population Size

      • Adrian E. Raftery, Judith E. Zeh
      Pages 163-240

    6. Bayesian Decision Support Using Environmental Transport-And-Fate Models

      • Robert L. Wolpert, Laura J. Steinberg, Kenneth H. Reckhow
      Pages 241-293

  3. Final Discussion

    1. Front Matter

      Pages 295-295
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    2. Invited Discussion

      • Thomas A. Louis
      Pages 297-301

    3. Contributed Discussions

      • James O. Berger
      Pages 302-307

  4. Contributed Papers

    1. Front Matter

      Pages 309-309
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    2. Bayesian Analysis of the Ames Salmonella/Microsome Assay

      • Ruth Etzioni, Bradley P. Carlin
      Pages 311-323

    3. A Clinical Experiment in Bone Marrow Transplantation: Estimating a Percentage Point of a Quantal Response Curve

      • Nancy Flournoy
      Pages 324-336

    4. The Composition of a Composition: Just the Facts

      • Stuart Greene, Larry Wasserman
      Pages 337-350

    5. Predicting Coproduct Yields in Microchip Fabrication

      • William S. Jewell, Shrane-Koung Chou
      Pages 351-361

    6. Synchronicity of Whale Strandings with Phases of the Moon

      • Frank Lad, Mark W. Brabyn
      Pages 362-376

    7. Bayesian Predictive Inference for Small Areas for Binary Variables in the National Health Interview Survey

      • Donald Malec, Joseph Sedransk, Linda Tompkins
      Pages 377-389

    8. A Cost-Utility Analysis of Alternative Strategies in Screening for Breast Cancer

      • Giovanni Parmigiani, Mark S. Kamlet
      Pages 390-402

    9. Restoration and Segmentation of Rail Surface Images

      • Thomas H. Short
      Pages 403-415

    10. Assessing Mechanisms of Neural Synaptic Activity

      • Mike West, Guoliang Cao
      Pages 416-428
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Keywords

About this book

The past few years have witnessed dramatic advances in computational methods for Bayesian inference. As a result, Bayesian approaches to solving a wide variety of problems in data analysis and decision-making have become feasible, and there is currently a growth spurt in the application of Bayesian methods. The purpose of this volume is to present several detailed examples of applications of Bayesian thinking, with an emphasis on the scientific or technological context of the problem being solved. The papers collected here were presented and discussed at a Workshop held at Carnegie-Mellon University, September 29 through October 1, 1991. There are five ma­ jor articles, each with two discussion pieces and a reply. These articles were invited by us following a public solicitation of abstracts. The problems they address are diverse, but all bear on policy decision-making. Though not part of our original design for the Workshop, that commonality of theme does emphasize the usefulness of Bayesian meth­ ods in this arena. Along with the invited papers were several additional commentaries of a general nature; the first comment was invited and the remainder grew out of the discussion at the Workshop. In addition there are nine contributed papers, selected from the thirty-four presented at the Workshop, on a variety of applications. This collection of case studies illustrates the ways in which Bayesian methods are being incorporated into statistical practice. The strengths (and limitations) of the approach become apparent through the examples.

Editors and Affiliations

  • Department of Health Care Policy, Harvard Medical School, Boston, USA

    Constantine Gatsonis

  • RAND, Santa Monica, USA

    James S. Hodges

  • Department of Statistics, Carnegie-Mellon University, Pittsburgh, USA

    Robert E. Kass

  • Department of Operations Research, The George Washington University, USA

    Nozer D. Singpurwalla

Bibliographic Information

  • Book Title: Case Studies in Bayesian Statistics

  • Editors: Constantine Gatsonis, James S. Hodges, Robert E. Kass, Nozer D. Singpurwalla

  • Series Title: Lecture Notes in Statistics

  • DOI: https://doi.org/10.1007/978-1-4612-2714-4

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag New York, Inc. 1993

  • Softcover ISBN: 978-0-387-94043-4Published: 11 June 1993

  • eBook ISBN: 978-1-4612-2714-4Published: 06 December 2012

  • Series ISSN: 0930-0325

  • Series E-ISSN: 2197-7186

  • Edition Number: 1

  • Number of Pages: XIII, 437

  • Number of Illustrations: 7 b/w illustrations

  • Topics: Applications of Mathematics

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