{"product_id":"bayesian-statistics-2e-principles-models-and-applications-328-wiley-series-in-probability-and-statistics-9780471348436","title":"Bayesian Statistics 2e Principles Models and Applications 328 Wiley Series in Probability and Statistics","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cul\u003e \u003cli\u003eShorter, more concise chapters provide flexible coverage of the subject.\u003c\/li\u003e \u003cli\u003eExpanded coverage includes: uncertainty and randomness, prior distributions, predictivism, estimation, analysis of variance, and classification and imaging.\u003c\/li\u003e \u003cli\u003eIncludes topics not covered in other books, such as the de Finetti Transform.\u003c\/li\u003e \u003cli\u003eAuthor S. James Press is the modern guru of Bayesian statistics.\u003c\/li\u003e \u003c\/ul\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\"…written in a clear, accessible manner…an enjoyable read and a comprehensive introduction to Bayesian theory and methods.\" (\u003ci\u003eJournal of the American Statistical Association\u003c\/i\u003e, March 2005)  \u003cp\u003e\"The book is well written. It should continue the success of the first edition and become the main reference book in the field.” (\u003ci\u003eInterfaces\u003c\/i\u003e, March-April 2004)\u003c\/p\u003e \u003cp\u003e\"…among several books I have reviewed, this is one of the best. I very strongly recommend this book to statisticians and applied researchers.\" (\u003ci\u003eJournal of Statistical Computation \u0026amp; Simulation\u003c\/i\u003e, March 2004)\u003c\/p\u003e \u003cp\u003e\"...a welcome addition to the library of any practicing statistician, not only as a thorough and readable text on Bayesian statistics, but also as a rich source of reference material for understanding the historical development of the subject.\" (\u003ci\u003eTechnometrics\u003c\/i\u003e, Vol. 45, No. 4, November 2003)\u003c\/p\u003e \u003cp\u003e“...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...” (\u003ci\u003eQuarterly of Applied Mathematics\u003c\/i\u003e, Vol. LXI, No. 2, June 2003)\u003c\/p\u003e \u003cp\u003e\"...this second edition is a completely restructured book with major new chapters and material...\" (\u003ci\u003eZentralblatt Math\u003c\/i\u003e, 2003)\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePreface.\u003cbr\u003e \u003cbr\u003e Preface to the First Edition.\u003cbr\u003e \u003cbr\u003e A Bayesian Hall of Fame.\u003cbr\u003e \u003cbr\u003e PART I: FOUNDATIONS AND PRINCIPLES.\u003cbr\u003e \u003cbr\u003e 1. Background.\u003cbr\u003e \u003cbr\u003e 2. A Bayesian Perspective on Probability.\u003cbr\u003e \u003cbr\u003e 3. The Likelihood Function.\u003cbr\u003e \u003cbr\u003e 4. Bayes' Theorem.\u003cbr\u003e \u003cbr\u003e 5. Prior Distributions.\u003cbr\u003e \u003cbr\u003e PART II: NUMERICAL IMPLEMENTATION OF THE BAYESIAN PARADIGM.\u003cbr\u003e \u003cbr\u003e 6. Markov Chain Monte Carlo Methods (Siddhartha Chib).\u003cbr\u003e \u003cbr\u003e 7. Large Sample Posterior Distributions and Approximations.\u003cbr\u003e \u003cbr\u003e PART III: BAYESIAN STATISTICAL INFERENCE AND DECISION MAKING.\u003cbr\u003e \u003cbr\u003e 8. Bayesian Estimation.\u003cbr\u003e \u003cbr\u003e 9. Bayesian Hypothesis Testing.\u003cbr\u003e \u003cbr\u003e 10. Predictivism.\u003cbr\u003e \u003cbr\u003e 11. Bayesian Decision Making.\u003cbr\u003e \u003cbr\u003e PART IV: MODELS AND APPLICATIONS.\u003cbr\u003e \u003cbr\u003e 12. Bayesian Inference in the General Linear Model.\u003cbr\u003e \u003cbr\u003e 13. Model Averaging (Merlise Clyde).\u003cbr\u003e \u003cbr\u003e 14. Hierarchical Bayesian Modeling (Alan Zaslavsky).\u003cbr\u003e \u003cbr\u003e 15. Bayesian Factor Analysis.\u003cbr\u003e \u003cbr\u003e 16. Bayesian Inference in Classification and Discrimination.\u003cbr\u003e \u003cbr\u003e Description of Appendices.\u003cbr\u003e \u003cbr\u003e Appendix 1. Bayes, Thomas, (Hilary L. Seal).\u003cbr\u003e \u003cbr\u003e Appendix 2. Thomas Bayes. A Bibliographical Note (George A. Barnard).\u003cbr\u003e \u003cbr\u003e Appendix 3. Communication of Bayes' Essay to the Philosophical Transactions of the Royal Society of London (Richard Price).\u003cbr\u003e \u003cbr\u003e Appendix 4. An Essay Towards Solving a Problem in the Doctrine of Chances (Reverend Thomas Bayes).\u003cbr\u003e \u003cbr\u003e Appendix 5. Applications of Bayesian Statistical Science.\u003cbr\u003e \u003cbr\u003e Appendix 6. Selecting the Bayesian Hall of Fame.\u003cbr\u003e \u003cbr\u003e Appendix 7. Solutions to Selected Exercises.\u003cbr\u003e \u003cbr\u003e Bibliography.\u003cbr\u003e \u003cbr\u003e Subject Index.\u003cbr\u003e \u003cbr\u003e Author Index.","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":53515425317207,"sku":"9780471348436","price":135.85,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/bayesian-statistics-2e-principles-models-and-applications-328-wiley-series-in-probability-and-statistics-9780471348436","provider":"Book Curl","version":"1.0","type":"link"}