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Case Studies in Bayesian Statistics

Volume VI

  • Conference proceedings
  • © 2002

Overview

Editors:
  1. Constantine Gatsonis

    1. Center for Statistical Science, Brown University, Providence, USA

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  2. Robert E. Kass

    1. Department Of Statistics, Carnegie Mellon University, Pittsburgh, USA

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  3. Alicia Carriquiry

    1. Department of Statistic, Iowa State University, Ames, USA

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  4. Andrew Gelman

    1. Department of Statistics, Columbia University, New York, USA

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  5. David Higdon

    1. Institute of Statistics and Decision Sciences, Duke University, Durham, USA

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  6. Donna K. Pauler

    1. Program in Biostatistics, Fred Hutchinson Center Research Center, Seattle, USA

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  7. Isabella Verdinelli

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

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Part of the book series: Lecture Notes in Statistics (LNS, volume 167)

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Table of contents (19 papers)

  1. Front Matter

    Pages N2-xiv
    Download chapter PDF

  2. Invited Papers

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Statistical Models for Biological Sequence Motif Discovery

      • Jin S. Liu, Mayetri Gupta, Xiaole Liu, Linda Mayerhofere, Charles E. Lawrence
      Pages 3-32

    3. Multi-Course Treatment Strategies for Clinical Trials of Rapidly Fatal Diseases

      • Peter F. Thall, Hsi-Guang Sung, Elihu H. Estey
      Pages 33-89

    4. Recognition of Faces versus Greebles: A Case Study in Model Selection

      • Kert Viele, Robert E. Kass, Michael J. Tarr, Marlene Behrmann, Isabel Gauthier
      Pages 91-133

  3. Contributed Papers

    1. Front Matter

      Pages 135-135
      Download chapter PDF

    2. Spatial Semiparametric Proportional Hazards Models for Analyzing Infant Mortality Rates in Minnesota Counties

      • Sudipto Banerjee, Bradley P. Carlin
      Pages 137-151

    3. Bayes and asymptotically pointwise optimal stopping rules for the detection of influenza epidemics

      • Michael I. Barón
      Pages 153-163

    4. Exploring Space-Time Structure in Ozone Concentration Using a Dynamic Process Convolution Model

      • Catherine A. Calder, Christopher Holloman, David Higdon
      Pages 165-176

    5. Correlations Between Clinical Mastitis in Different Periods of First-Lactation Norwegian Cattle Using a Multivariate Threshold Model

      • Yu-mei Chang, Daniel Gianola, Bjørg Heringstad, Gunnar Klemetsdal
      Pages 177-192

    6. Working Memory Impairments in Schizophrenia Patients: A Bayesian Bivariate IRT Analysis

      • Samantha Cook, John Barnard, Yungtai Lo, Donald B. Rubin, Michael J. Coleman, Steven Matthysse et al.
      Pages 193-206

    7. Improving MCMC Mixing for a GLMM Describing Pathogen Concentrations in Water Supplies

      • Ciprian M. Crainiceanu, David Ruppert, Jery R. Stedinger, Christopher T. Behr
      Pages 207-221

    8. Bayesian Analysis of a Population HIV Dynamic Model

      • Cong Han, Kathryn Chaloner, Alan S. Perelson
      Pages 223-237

    9. Hierarchical Bayes Models for Relating Particulate Matter Exposure Measures

      • Murali Haran, Bradley P. Carlin, John L. Adgate, Gurumurthy Ramachandran, Lance A. Waller, Alan E. Gelfand
      Pages 239-254

    10. A Bayesian Approach to Reducing Heterogeneity in Laboratory Measures: An Illustration from Schizophrenia Research

      • Shane T. Jensen, Mark F. Lenzenweger, Donald B. Rubin
      Pages 255-266

    11. Evaluating the Impact of Environmental Stressors on Benthic Microinvertebrate Communities via Bayesian Model Averaging

      • Ilya A. Lipkovich, Eric P. Smith, Keying Ye
      Pages 267-283

    12. Comovements and Contagion in Emergent Markets: Stock Indexes Volatilities

      • Hedibert Freitas Lopes, Helio S. Migon
      Pages 285-300

    13. Some Models for Down’s Syndrome Risk Prediction

      • J. M. Marin, R. Montes Diez, D. Rios Insua
      Pages 301-310

    14. Multi-scale Relationships Between Coarse Woody Debris and Presence/Absence of Western Hemlock in the Oregon Coast Range

      • Vicente J. Monleon, Alix I. Gitelman, Andrew N. Gray
      Pages 311-318

    15. Was it a car or a cat I saw? An Analysis of Response Times for Word Recognition

      • Mario Peruggia, Trisha Van Zandt, Meng Chen
      Pages 319-334
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Keywords

About this book

The 6th Workshop on Case Studies in Bayesian Statistics was held at the Carnegie Mellon University in October, 2001. This volume contains the invited case studies with the accompanying discussion as well as contributed papers selected by a refereeing process.

Reviews

From the reviews:

TECHNOMETRICS

"…well written and can be appreciated by those with little biology background…In general, I found many of the papers collected in this book interesting…readers who are interested in applying Bayesian analysis in real case studies may find this book useful. One might consider using this book as supplementary material in graduate-level seminar courses on Bayesian data analysis."

Journal of the American Statistical Association, June 2004

"The volume as a whole illustrates the range of models that can now be fitted following the Markov chain Monte Carlo revolution, assess the behavior of posterior summaries under model misspecifications."

Editors and Affiliations

  • Center for Statistical Science, Brown University, Providence, USA

    Constantine Gatsonis

  • Department Of Statistics, Carnegie Mellon University, Pittsburgh, USA

    Robert E. Kass

  • Department of Statistic, Iowa State University, Ames, USA

    Alicia Carriquiry

  • Department of Statistics, Columbia University, New York, USA

    Andrew Gelman

  • Institute of Statistics and Decision Sciences, Duke University, Durham, USA

    David Higdon

  • Program in Biostatistics, Fred Hutchinson Center Research Center, Seattle, USA

    Donna K. Pauler

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

    Isabella Verdinelli

Bibliographic Information

  • Book Title: Case Studies in Bayesian Statistics

  • Book Subtitle: Volume VI

  • Editors: Constantine Gatsonis, Robert E. Kass, Alicia Carriquiry, Andrew Gelman, David Higdon, Donna K. Pauler, Isabella Verdinelli

  • Series Title: Lecture Notes in Statistics

  • DOI: https://doi.org/10.1007/978-1-4612-2078-7

  • Publisher: Springer New York, NY

  • eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)

  • Copyright Information: Springer-Verlag New York, Inc. 2002

  • Softcover ISBN: 978-0-387-95472-1Published: 12 August 2002

  • eBook ISBN: 978-1-4612-2078-7Published: 17 August 2018

  • Series ISSN: 0930-0325

  • Series E-ISSN: 2197-7186

  • Edition Number: 1

  • Number of Pages: XIV, 376

  • Number of Illustrations: 18 b/w illustrations

  • Topics: Statistical Theory and Methods

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