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Probability and Bayesian Statistics

  • Book
  • © 1987

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Editors:
  1. R. Viertl

    1. Technical University of Vienna, Vienna, Austria

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Table of contents (51 chapters)

  1. Front Matter

    Pages i-xii
    Download chapter PDF

  2. Stochastic Linear Programming with Recourse under Partial Information

    • Peter Abel
    Pages 1-6

  3. Applied GEWR(n,p,q) Normal Discount Bayesian Model: An Austrian Economic Case Study

    • M. Akram
    Pages 7-16

  4. Using Influence Diagrams to Solve a Calibration Problem

    • R. E. Barlow, R. W. Mensing, N. G. Smiriga
    Pages 17-30

  5. Reliability of a Complex System from Bayesian Viewpoint

    • Asit Basu, Ghasem Tarmast
    Pages 31-38

  6. Information in Selection Models

    • M. J. Bayarri, M. H. DeGroot
    Pages 39-51

  7. Approximations in Statistics from a Decision-Theoretical Viewpoint

    • José M. Bernardo
    Pages 53-60

  8. Restricted Bayes Estimates for Binomial Parameters

    • James D. Broffitt
    Pages 61-72

  9. Bayesian Prevision of Time Series by Transfer Function Models

    • Francesco Carlucci, Gino Zornitta
    Pages 73-82

  10. Priors for Exponential Families Which Maximize the Association between Past and Future Observations

    • Donato M. Cifarelli, Eugenio Regazzini
    Pages 83-95

  11. Calibrating and Combining Precipitation Probability Forecasts

    • Robert T. Clemen, Robert L. Winkler
    Pages 97-110

  12. Coherent Distributions and Lindley’s Paradox

    • Guido Consonni, Piero Veronese
    Pages 111-120

  13. Mean Variance, Expected Utility and Ruin Probability in Reinsurance Decisions: Suggestions and Comments on the Line of De Finetti’s Seminal Work

    • Luciano Daboni, Flavio Pressacco
    Pages 121-128

  14. A Product of Multivariate T Densities as Upper Bound for the Posterior Kernel of Simultaneous Equation Model Parameters

    • Herman K. van Dijk
    Pages 129-138

  15. A Common Model Selection Criterion

    • N. R. Draper, I. Guttman
    Pages 139-150

  16. Predictive Screening Methods in Binary Response Models

    • Ian R. Dunsmore, Richard J. Boys
    Pages 151-158

  17. De Finetti’s Probabilistic Approach and the Theory of Expectations in Economics

    • Massimo de Felice, Gianluigi Pelloni
    Pages 159-168

  18. Some Characteristics of Bayesian Designs

    • Klaus Felsenstein
    Pages 169-174

  19. The Analysis of Multiple Choice Tests in Educational Assessment

    • Simon French
    Pages 175-182

  20. Dynamic Inference on Survival Functions

    • Dani Gamerman
    Pages 183-192
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Keywords

About this book

This book contains selected and refereed contributions to the "Inter­ national Symposium on Probability and Bayesian Statistics" which was orga­ nized to celebrate the 80th birthday of Professor Bruno de Finetti at his birthplace Innsbruck in Austria. Since Professor de Finetti died in 1985 the symposium was dedicated to the memory of Bruno de Finetti and took place at Igls near Innsbruck from 23 to 26 September 1986. Some of the pa­ pers are published especially by the relationship to Bruno de Finetti's scientific work. The evolution of stochastics shows growing importance of probability as coherent assessment of numerical values as degrees of believe in certain events. This is the basis for Bayesian inference in the sense of modern statistics. The contributions in this volume cover a broad spectrum ranging from foundations of probability across psychological aspects of formulating sub­ jective probability statements, abstract measure theoretical considerations, contributions to theoretical statistics and stochastic processes, to real applications in economics, reliability and hydrology. Also the question is raised if it is necessary to develop new techniques to model and analyze fuzzy observations in samples. The articles are arranged in alphabetical order according to the family name of the first author of each paper to avoid a hierarchical ordering of importance of the different topics. Readers interested in special topics can use the index at the end of the book as guide.

Editors and Affiliations

  • Technical University of Vienna, Vienna, Austria

    R. Viertl

Bibliographic Information

  • Book Title: Probability and Bayesian Statistics

  • Editors: R. Viertl

  • DOI: https://doi.org/10.1007/978-1-4613-1885-9

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Plenum Press, New York 1987

  • Softcover ISBN: 978-1-4612-9050-6Published: 01 November 2011

  • eBook ISBN: 978-1-4613-1885-9Published: 06 December 2012

  • Edition Number: 1

  • Number of Pages: 510

  • Topics: Probability Theory and Stochastic Processes, Computer Science, general

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