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Subjective and Objective Bayesian Statistics 2nd edition by James Press ISBN 04703171059 978-0470317105

  • SKU: BELL-2002286
Subjective and Objective Bayesian Statistics 2nd edition by James Press ISBN 04703171059 978-0470317105
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Subjective and Objective Bayesian Statistics 2nd edition by James Press ISBN 04703171059 978-0470317105 instant download after payment.

Publisher: Wiley-Interscience
File Extension: PDF
File size: 34.63 MB
Pages: 591
Author: S. James Press
ISBN: 9780471348436, 0471348430
Language: English
Year: 2002
Edition: 2

Product desciption

Subjective and Objective Bayesian Statistics 2nd edition by James Press ISBN 04703171059 978-0470317105 by S. James Press 9780471348436, 0471348430 instant download after payment.

Subjective and Objective Bayesian Statistics 2nd edition by James Press - Ebook PDF Instant Download/Delivery: 04703171059, 978-0470317105
Full download Subjective and Objective Bayesian Statistics 2nd edition after payment


Product details:


ISBN 10: 0470317105
ISBN 13: 978-0470317105
Author: James Press

  • 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.


Subjective and Objective Bayesian Statistics 2nd Table of contents:

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.


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