Frontiers of Statistical Decision Making and Bayesian Analysis: In Honor of Jame

Description: Frontiers of Statistical Decision Making and Bayesian Analysis by Ming-Hui Chen, Peter MÜller, Dongchu Sun, Keying Ye, Dipak K. Dey Research in Bayesian analysis and statistical decision theory is rapidly expanding and diversifying, making it increasingly more difficult for any single researcher to stay up to date on all current research frontiers. FORMAT Hardcover LANGUAGE English CONDITION Brand New Publisher Description Research in Bayesian analysis and statistical decision theory is rapidly expanding and diversifying, making it increasingly more difficult for any single researcher to stay up to date on all current research frontiers. This book provides a review of current research challenges and opportunities. While the book can not exhaustively cover all current research areas, it does include some exemplary discussion of most research frontiers. Topics include objective Bayesian inference, shrinkage estimation and other decision based estimation, model selection and testing, nonparametric Bayes, the interface of Bayesian and frequentist inference, data mining and machine learning, methods for categorical and spatio-temporal data analysis and posterior simulation methods. Several major application areas are covered: computer models, Bayesian clinical trial design, epidemiology, phylogenetics, bioinformatics, climate modeling and applications in political science, finance and marketing. As a review of current research in Bayesian analysis the book presents a balance between theory and applications. The lack of a clear demarcation between theoretical and applied research is a reflection of the highly interdisciplinary and often applied nature of research in Bayesian statistics. The book is intended as an update for researchers in Bayesian statistics, including non-statisticians who make use of Bayesian inference to address substantive research questions in other fields. It would also be useful for graduate students and research scholars in statistics or biostatistics who wish to acquaint themselves with current research frontiers. Notes A concise update on the topics which are the currently most active areas of Bayesian researchWritten by the experts and the very contributors to this researchMakes diverse research areas accessible to any reader who is familiar with the basics of the Bayesian approach Back Cover Research in Bayesian analysis and statistical decision theory is rapidly expanding and diversifying, making it increasingly more difficult for any single researcher to stay up to date on all current research frontiers. This book provides a review of current research challenges and opportunities. While the book can not exhaustively cover all current research areas, it does include some exemplary discussion of most research frontiers. Topics include objective Bayesian inference, shrinkage estimation and other decision based estimation, model selection and testing, nonparametric Bayes, the interface of Bayesian and frequentist inference, data mining and machine learning, methods for categorical and spatio-temporal data analysis and posterior simulation methods. Several major application areas are covered: computer models, Bayesian clinical trial design, epidemiology, phylogenetics, bioinformatics, climate modeling and applications in political science, finance and marketing. As a review of current research in Bayesian analysis the book presents a balance between theory and applications. The lack of a clear demarcation between theoretical and applied research is a reflection of the highly interdisciplinary and often applied nature of research in Bayesian statistics. The book is intended as an update for researchers in Bayesian statistics, including non-statisticians who make use of Bayesian inference to address substantive research questions in other fields. It would also be useful for graduate students and research scholars in statistics or biostatistics who wish to acquaint themselves with current research frontiers.Ming-Hui Chen is Professor of Statistics at the University of Connecticut; Dipak K. Dey is Head and Professor of Statistics at the University of Connecticut; Peter M Author Biography Ming-Hui Chen is Professor of Statistics at the University of Connecticut; Dipak K. Dey is Head and Professor of Statistics at the University of Connecticut; Peter MÜller is Professor of Biostatistics at the University of Texas M. D. Anderson Cancer Center; Dongchu Sun is Professor of Statistics at the University of Missouri- Columbia; and Keying Ye is Professor of Statistics at the University of Texas at San Antonio. Table of Contents Objective Bayesian Inference with Applications.- Bayesian Decision Based Estimation and Predictive Inference.- Bayesian Model Selection and Hypothesis Tests.- Bayesian Inference for Complex Computer Models.- Bayesian Nonparametrics and Semi-parametrics.- Bayesian Influence and Frequentist Interface.- Bayesian Clinical Trials.- Bayesian Methods for Genomics, Molecular and Systems Biology.- Bayesian Data Mining and Machine Learning.- Bayesian Inference in Political Science, Finance, and Marketing Research.- Bayesian Categorical Data Analysis.- Bayesian Geophysical, Spatial and Temporal Statistics.- Posterior Simulation and Monte Carlo Methods. Review From the reviews:"The book is a Festschrift in honour of Jim Bergers 60th birthday that was celebrated at a conference in spring 2010 in Texas. … All the papers are written by experts in their fields and represent the current state of the art in Bayesian modelling. … for those who are interested in Bayesian modelling, there are some interesting aspects to be detected. … the book is aimed for advanced researchers in Bayesian analyses." (Wolfgang Polasek, International Statistical Review, Vol. 79 (3), 2011)"This collection contains invited papers by statisticians to honor and acknowledge the contributions of James O. Berger to Bayesian statistics. These papers present recent surveys and developments within the area of statistical decision theory and Bayesian statistics and related topics. … Each chapter … provides a detailed treatment of the topic under consideration. … can be useful for graduate students and researchers from diverse fields of statistics and related disciplines. … this edited volume contains a wealth of knowledge, wisdom and information on Bayesian statistics." (Technometrics, Vol. 53 (2), May, 2011) Long Description Research in Bayesian analysis and statistical decision theory is rapidly expanding and diversifying, making it increasingly more difficult for any single researcher to stay up to date on all current research frontiers. This book provides a review of current research challenges and opportunities. While the book can not exhaustively cover all current research areas, it does include some exemplary discussion of most research frontiers. Topics include objective Bayesian inference, shrinkage estimation and other decision based estimation, model selection and testing, nonparametric Bayes, the interface of Bayesian and frequentist inference, data mining and machine learning, methods for categorical and spatio-temporal data analysis and posterior simulation methods. Several major application areas are covered: computer models, Bayesian clinical trial design, epidemiology, phylogenetics, bioinformatics, climate modeling and applications in political science, finance and marketing. As a review of current research in Bayesian analysis the book presents a balance between theory and applications. The lack of a clear demarcation between theoretical and applied research is a reflection of the highly interdisciplinary and often applied nature of research in Bayesian statistics. The book is intended as an update for researchers in Bayesian statistics, including non-statisticians who make use of Bayesian inference to address substantive research questions in other fields. It would also be useful for graduate students and research scholars in statistics or biostatistics who wish to acquaint themselves with current research frontiers. Review Quote From the reviews:The book is a Festschrift in honour of Jim Bergers 60th birthday that was celebrated at a conference in spring 2010 in Texas. … All the papers are written by experts in their fields and represent the current state of the art in Bayesian modelling. … for those who are interested in Bayesian modelling, there are some interesting aspects to be detected. … the book is aimed for advanced researchers in Bayesian analyses. (Wolfgang Polasek, International Statistical Review, Vol. 79 (3), 2011)This collection contains invited papers by statisticians to honor and acknowledge the contributions of James O. Berger to Bayesian statistics. These papers present recent surveys and developments within the area of statistical decision theory and Bayesian statistics and related topics. … Each chapter … provides a detailed treatment of the topic under consideration. … can be useful for graduate students and researchers from diverse fields of statistics and related disciplines. … this edited volume contains a wealth of knowledge, wisdom and information on Bayesian statistics. (Technometrics, Vol. 53 (2), May, 2011) Feature A concise update on the topics which are the currently most active areas of Bayesian researchWritten by the experts and the very contributors to this researchMakes diverse research areas accessible to any reader who is familiar with the basics of the Bayesian approach Details ISBN1441969438 Short Title FRONTIERS OF STATISTICAL DECIS Language English ISBN-10 1441969438 ISBN-13 9781441969439 Media Book Format Hardcover Publisher Springer-Verlag New York Inc. Year 2010 Imprint Springer-Verlag New York Inc. Subtitle In Honor of James O. Berger Country of Publication United States Edited by Peter MÜller Qualifications pho Dr. Place of Publication New York, NY Author Dipak K. Dey DEWEY 519.542 Edition Description 2010 Pages 631 Birth 1944 Edition 2010th Illustrations XXIII, 631 p. DOI 10.1007/978-1-4419-6944-6 Publication Date 2010-08-16 AU Release Date 2010-08-16 NZ Release Date 2010-08-16 US Release Date 2010-08-16 UK Release Date 2010-08-16 Alternative 9781489992017 Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:96224727;

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