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Modelling and Prediction Honoring Seymour Geisser

  • Book
  • © 1996

Overview

Editors:
  1. Jack C. Lee

    1. Institute of Statistics, National Chiao Tung University, Hsichu, Taiwan R.O.C

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  2. Wesley O. Johnson

    1. Department of Statistics, University of California, Davis, Davis, USA

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  3. Arnold Zellner

    1. Graduate School of Business, University of Chicago, Chicago, USA

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Table of contents (27 chapters)

  1. Front Matter

    Pages i-xvi
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  4. Design of Experiments and Classification

    1. Front Matter

      Pages 167-167
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    2. On small sample Bayesian inference and sequential design for quantal response curves

      • Tom Leonard, John S. J. Hsu
      Pages 169-175

    3. Some Simulation Results for the Performance of DNA Classification of Noisy Image Data

      • S. James Press
      Pages 176-192

    4. Case-Control Studies and Bayesian Inference

      • M. Zelen, R. A. Parker
      Pages 193-203

  5. Prior Distributions and Estimation

    1. Front Matter

      Pages 205-205
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    2. Orthogonalizations and Prior Distributions for Orthogonalized Model Mixing

      • Merlise Clyde, Giovanni Parmigiani
      Pages 206-227

    3. Improved Quasi-Maximum Likelihood Estimation for Stochastic Volatility Models

      • F. Jay Breidt, Alicia L. Carriquiry
      Pages 228-247

    4. Bayesian Inference for Linear Models Subject to Linear Inequality Constraints

      • John F. Geweke
      Pages 248-263
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Keywords

About this book

Modelling and Prediction Honoring Seymour Geisser contains the refereed proceedings of the Conference on Forecasting, Prediction, and Modelling held at National Chiao Tung University, Taiwan in 1994. The papers discuss general methodological issues; prediction; design of experiments and classification; prior distributions and estimation; posterior odds, testing, and model selection; modelling and prediction in finance; and time series modelling and applications. Specific topics include very interesting and topical statistical issues related to DNA fingerprinting and spatial image reconstruction, foundational issues for applied statistics and testing hypotheses, forecasting tax revenues and bond prices, and assessing oxone depletion.

Editors and Affiliations

  • Institute of Statistics, National Chiao Tung University, Hsichu, Taiwan R.O.C

    Jack C. Lee

  • Department of Statistics, University of California, Davis, Davis, USA

    Wesley O. Johnson

  • Graduate School of Business, University of Chicago, Chicago, USA

    Arnold Zellner

Bibliographic Information

  • Book Title: Modelling and Prediction Honoring Seymour Geisser

  • Editors: Jack C. Lee, Wesley O. Johnson, Arnold Zellner

  • DOI: https://doi.org/10.1007/978-1-4612-2414-3

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media New York 1996

  • Softcover ISBN: 978-1-4612-7529-9Published: 19 March 2012

  • eBook ISBN: 978-1-4612-2414-3Published: 20 December 2013

  • Edition Number: 1

  • Number of Pages: XVI, 448

  • Number of Illustrations: 22 b/w illustrations

  • Topics: Applications of Mathematics

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