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Synopsis
No phenomenon in any aspect of human enterprise is known with certainty. Probability and Statistics help us quantify uncertainty and lead to better decisions that, hopefully, enhance life. The impact of the ideas in this book has already revolutionised our ability to take informed decisions, and continues to do so at an astonishing rate.
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About the Author
Paul Damien, Professor, McCombs School of Business, University of Texas in Austin,Petros Dellaportas, Professor, Athens University of Economics and Business,Nicholas G. Polson, Professor of Econometrics and Statistics, Chicago Booth, University of Chicago,David A. Stephens, Professor, McGill University
Paul Damien is a Professor at the McCombs School of Business, University of Texas in Austin.
Petros Dellaportas is a Professor at the Athens University of Economics and Business.
Nicholas G Polson is Professor of Econometrics and Statistics at Chicago Booth, University of Chicago.
David M Stephens is a Professor in the Department of Mathematics and Statistics at McGill University, Canada.
"About this title" may belong to another edition of this title.
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Bayesian Theory and Applications
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Oxford University Press, 2015
ISBN 10: 0198739079
ISBN 13: 9780198739074
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Bayesian Theory and Applications (Paperback)
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Oxford University Press, Oxford, 2015
ISBN 10: 0198739079
ISBN 13: 9780198739074
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Paperback. Condition: new. Paperback. The development of hierarchical models and Markov chain Monte Carlo (MCMC) techniques forms one of the most profound advances in Bayesian analysis since the 1970s and provides the basis for advances in virtually all areas of applied and theoretical Bayesian statistics.This volume guides the reader along a statistical journey that begins with the basic structure of Bayesian theory, and then provides details on most of the past and present advances inthis field. The book has a unique format. There is an explanatory chapter devoted to each conceptual advance followed by journal-style chapters that provide applications or further advances on theconcept.Thus, the volume is both a textbook and a compendium of papers covering a vast range of topics. It is appropriate for a well-informed novice interested in understanding the basic approach, methods and recent applications. Because of its advanced chapters and recent work, it is also appropriate for a more mature reader interested in recent applications and developments, and who may be looking for ideas that could spawn new research.Hence, the audience for thisunique book would likely include academicians/practitioners, and could likely be required reading for undergraduate and graduate students in statistics, medicine, engineering, scientific computation,business, psychology, bio-informatics, computational physics, graphical models, neural networks, geosciences, and public policy.The book honours the contributions of Sir Adrian F. M. Smith, one of the seminal Bayesian researchers, with his papers on hierarchical models, sequential Monte Carlo, and Markov chain Monte Carlo and his mentoring of numerous graduate students -the chapters are authored by prominent statisticians influenced by him.Bayesian Theory andApplications should serve the dual purpose of a reference book, and a textbook in Bayesian Statistics. No phenomenon in any aspect of human enterprise is known with certainty. Probability and Statistics help us quantify uncertainty and lead to better decisions that, hopefully, enhance life. The impact of the ideas in this book has already revolutionised our ability to take informed decisions, and continues to do so at an astonishing rate. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780198739074
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Bayesian Theory and Applications (eng)
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Paperback. Condition: new. Paperback. The development of hierarchical models and Markov chain Monte Carlo (MCMC) techniques forms one of the most profound advances in Bayesian analysis since the 1970s and provides the basis for advances in virtually all areas of applied and theoretical Bayesian statistics.This volume guides the reader along a statistical journey that begins with the basic structure of Bayesian theory, and then provides details on most of the past and present advances inthis field. The book has a unique format. There is an explanatory chapter devoted to each conceptual advance followed by journal-style chapters that provide applications or further advances on theconcept.Thus, the volume is both a textbook and a compendium of papers covering a vast range of topics. It is appropriate for a well-informed novice interested in understanding the basic approach, methods and recent applications. Because of its advanced chapters and recent work, it is also appropriate for a more mature reader interested in recent applications and developments, and who may be looking for ideas that could spawn new research.Hence, the audience for thisunique book would likely include academicians/practitioners, and could likely be required reading for undergraduate and graduate students in statistics, medicine, engineering, scientific computation,business, psychology, bio-informatics, computational physics, graphical models, neural networks, geosciences, and public policy.The book honours the contributions of Sir Adrian F. M. Smith, one of the seminal Bayesian researchers, with his papers on hierarchical models, sequential Monte Carlo, and Markov chain Monte Carlo and his mentoring of numerous graduate students -the chapters are authored by prominent statisticians influenced by him.Bayesian Theory andApplications should serve the dual purpose of a reference book, and a textbook in Bayesian Statistics. No phenomenon in any aspect of human enterprise is known with certainty. Probability and Statistics help us quantify uncertainty and lead to better decisions that, hopefully, enhance life. The impact of the ideas in this book has already revolutionised our ability to take informed decisions, and continues to do so at an astonishing rate. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9780198739074
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Bayesian Theory and Applications
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ISBN 10: 0198739079
ISBN 13: 9780198739074
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