Produktbild: Subjective and Objective Bayesian Statistics

Subjective and Objective Bayesian Statistics Principles, Models, and Applications

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

09.12.2002

Verlag

John Wiley & Sons Inc

Seitenzahl

608

Maße (L/B/H)

24/16,1/3,6 cm

Gewicht

1053 g

Auflage

2nd edition

Sprache

Englisch

ISBN

978-0-471-34843-6

Beschreibung

Rezension

"...written in a clear, accessible manner...an enjoyable read and a comprehensive introduction to Bayesian theory and methods." ( Journal of the American Statistical Association , March 2005)
"The book is well written. It should continue the success of the first edition and become the main reference book in the field." ( Interfaces , March-April 2004)

"...among several books I have reviewed, this is one of the best. I very strongly recommend this book to statisticians and applied researchers." ( Journal of Statistical Computation & Simulation , March 2004)

"...a second edition...but really a new book, not merely the first edition with a few changes inserted...a completely restructured book with major new chapters and material..." ( Quarterly of Applied Mathematics , Vol. LXI, No. 2, June 2003)

"...this second edition is a completely restructured book with major new chapters and material..." ( Zentralblatt Math , 2003)

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

09.12.2002

Verlag

John Wiley & Sons Inc

Seitenzahl

608

Maße (L/B/H)

24/16,1/3,6 cm

Gewicht

1053 g

Auflage

2nd edition

Sprache

Englisch

ISBN

978-0-471-34843-6

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: Subjective and Objective Bayesian Statistics
  • Preface.
     
    Preface to the First Edition.
     
    A Bayesian Hall of Fame.
     
    PART I: FOUNDATIONS AND PRINCIPLES.
     
    1. Background.
     
    2. A Bayesian Perspective on Probability.
     
    3. The Likelihood Function.
     
    4. Bayes' Theorem.
     
    5. Prior Distributions.
     
    PART II: NUMERICAL IMPLEMENTATION OF THE BAYESIAN PARADIGM.
     
    6. Markov Chain Monte Carlo Methods (Siddhartha Chib).
     
    7. Large Sample Posterior Distributions and Approximations.
     
    PART III: BAYESIAN STATISTICAL INFERENCE AND DECISION MAKING.
     
    8. Bayesian Estimation.
     
    9. Bayesian Hypothesis Testing.
     
    10. Predictivism.
     
    11. Bayesian Decision Making.
     
    PART IV: MODELS AND APPLICATIONS.
     
    12. Bayesian Inference in the General Linear Model.
     
    13. Model Averaging (Merlise Clyde).
     
    14. Hierarchical Bayesian Modeling (Alan Zaslavsky).
     
    15. Bayesian Factor Analysis.
     
    16. Bayesian Inference in Classification and Discrimination.
     
    Description of Appendices.
     
    Appendix 1. Bayes, Thomas, (Hilary L. Seal).
     
    Appendix 2. Thomas Bayes. A Bibliographical Note (George A. Barnard).
     
    Appendix 3. Communication of Bayes' Essay to the Philosophical Transactions of the Royal Society of London (Richard Price).
     
    Appendix 4. An Essay Towards Solving a Problem in the Doctrine of Chances (Reverend Thomas Bayes).
     
    Appendix 5. Applications of Bayesian Statistical Science.
     
    Appendix 6. Selecting the Bayesian Hall of Fame.
     
    Appendix 7. Solutions to Selected Exercises.
     
    Bibliography.
     
    Subject Index.
     
    Author Index.