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Subjective and Objective Bayesian Statistics - S. James Press

Subjective and Objective Bayesian Statistics

Principles, Models, and Applications

(Autor)

Buch | Hardcover
608 Seiten
2002 | 2nd edition
Wiley-Interscience (Verlag)
978-0-471-34843-6 (ISBN)
CHF 269,95 inkl. MwSt
* Shorter, more concise chapters provide flexible coverage of the subject. * Expanded coverage includes: uncertainty and randomness, prior distributions, predictivism, estimation, analysis of variance, and classification and imaging. * Includes topics not covered in other books, such as the de Finetti Transform. * Author S.
Shorter, more concise chapters provide flexible coverage of the subject.
Expanded coverage includes: uncertainty and randomness, prior distributions, predictivism, estimation, analysis of variance, and classification and imaging.
Includes topics not covered in other books, such as the de Finetti Transform.
Author S. James Press is the modern guru of Bayesian statistics.

S. JAMES PRESS, PhD, is a Distinguished Professor in the Department of Statistics at the University of California, Riverside. He is the author (with Judith M. Tanur) of The Subjectivity of Scientists and the Bayesian Approach, also published by John Wiley & Sons, Inc., 2001.

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.

Erscheint lt. Verlag 17.12.2002
Reihe/Serie Wiley Series in Probability and Statistics
Zusatzinfo Charts: 3 B&W, 0 Color; Photos: 6 B&W, 0 Color; Drawings: 1 B&W, 0 Color; Screen captures: 10 B&W, 0 Color; Tables: 33 B&W, 0 Color; Graphs: 37 B&W, 0 Color
Sprache englisch
Maße 159 x 243 mm
Gewicht 934 g
Themenwelt Mathematik / Informatik Mathematik Statistik
Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
ISBN-10 0-471-34843-0 / 0471348430
ISBN-13 978-0-471-34843-6 / 9780471348436
Zustand Neuware
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