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Robust Hierarchical Bayes Estimation Of Exchangeable Means
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Book Synopsis Robust Hierarchical Bayes Estimation of Exchangeable Means by : J. O. Berger
Download or read book Robust Hierarchical Bayes Estimation of Exchangeable Means written by J. O. Berger and published by . This book was released on 1988 with total page 29 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Robust Hierarchical Bayes Estimation of Exchangeable Means by : James O. Berger
Download or read book Robust Hierarchical Bayes Estimation of Exchangeable Means written by James O. Berger and published by . This book was released on 1990 with total page 29 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Bayesian Robustness by : James O. Berger
Download or read book Bayesian Robustness written by James O. Berger and published by IMS. This book was released on 1996 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Bayesian Theory by : José M. Bernardo
Download or read book Bayesian Theory written by José M. Bernardo and published by John Wiley & Sons. This book was released on 2009-09-25 with total page 608 pages. Available in PDF, EPUB and Kindle. Book excerpt: This highly acclaimed text, now available in paperback, provides a thorough account of key concepts and theoretical results, with particular emphasis on viewing statistical inference as a special case of decision theory. Information-theoretic concepts play a central role in the development of the theory, which provides, in particular, a detailed discussion of the problem of specification of so-called prior ignorance . The work is written from the authors s committed Bayesian perspective, but an overview of non-Bayesian theories is also provided, and each chapter contains a wide-ranging critical re-examination of controversial issues. The level of mathematics used is such that most material is accessible to readers with knowledge of advanced calculus. In particular, no knowledge of abstract measure theory is assumed, and the emphasis throughout is on statistical concepts rather than rigorous mathematics. The book will be an ideal source for all students and researchers in statistics, mathematics, decision analysis, economic and business studies, and all branches of science and engineering, who wish to further their understanding of Bayesian statistics
Book Synopsis Multivariate Analysis by : Calyampudi Radhakrishna Rao
Download or read book Multivariate Analysis written by Calyampudi Radhakrishna Rao and published by North Holland. This book was released on 1993 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hardbound. The papers in this volume, written by outstanding research workers, present the current state of the art in the frontier areas of mathematical statistics, stochastic processes, time series and image processing and discuss future directions of research in these areas. The main emphasis is on methods of inference from multivariate data with minimal distributional assumptions. The associated theoretical, methodological and computational aspects are fully discussed. The volume will be a valuable guide to research workers and graduate students.
Book Synopsis Behavior Characterization and Estimation for General Hierarchical Multivariate Linear Regression Models by : Beth L. Chance
Download or read book Behavior Characterization and Estimation for General Hierarchical Multivariate Linear Regression Models written by Beth L. Chance and published by . This book was released on 1994 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Journal of Statistical Research by :
Download or read book Journal of Statistical Research written by and published by . This book was released on 2000 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Naval Research Logistics written by and published by . This book was released on 1994 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Statistical Decision Theory and Bayesian Analysis by : James O. Berger
Download or read book Statistical Decision Theory and Bayesian Analysis written by James O. Berger and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 633 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this new edition the author has added substantial material on Bayesian analysis, including lengthy new sections on such important topics as empirical and hierarchical Bayes analysis, Bayesian calculation, Bayesian communication, and group decision making. With these changes, the book can be used as a self-contained introduction to Bayesian analysis. In addition, much of the decision-theoretic portion of the text was updated, including new sections covering such modern topics as minimax multivariate (Stein) estimation.
Book Synopsis Statistical Theory and Method Abstracts by :
Download or read book Statistical Theory and Method Abstracts written by and published by . This book was released on 1998 with total page 670 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Bayesian Hierarchical Models by : Peter D. Congdon
Download or read book Bayesian Hierarchical Models written by Peter D. Congdon and published by CRC Press. This book was released on 2019-09-16 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt: An intermediate-level treatment of Bayesian hierarchical models and their applications, this book demonstrates the advantages of a Bayesian approach to data sets involving inferences for collections of related units or variables, and in methods where parameters can be treated as random collections. Through illustrative data analysis and attention to statistical computing, this book facilitates practical implementation of Bayesian hierarchical methods. The new edition is a revision of the book Applied Bayesian Hierarchical Methods. It maintains a focus on applied modelling and data analysis, but now using entirely R-based Bayesian computing options. It has been updated with a new chapter on regression for causal effects, and one on computing options and strategies. This latter chapter is particularly important, due to recent advances in Bayesian computing and estimation, including the development of rjags and rstan. It also features updates throughout with new examples. The examples exploit and illustrate the broader advantages of the R computing environment, while allowing readers to explore alternative likelihood assumptions, regression structures, and assumptions on prior densities. Features: Provides a comprehensive and accessible overview of applied Bayesian hierarchical modelling Includes many real data examples to illustrate different modelling topics R code (based on rjags, jagsUI, R2OpenBUGS, and rstan) is integrated into the book, emphasizing implementation Software options and coding principles are introduced in new chapter on computing Programs and data sets available on the book’s website
Download or read book Mathematical Reviews written by and published by . This book was released on 1999 with total page 780 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Proceedings of the 1990 Taipei Symposium in Statistics by : Minde Zhao
Download or read book Proceedings of the 1990 Taipei Symposium in Statistics written by Minde Zhao and published by . This book was released on 1991 with total page 696 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Bayesian Data Analysis, Third Edition by : Andrew Gelman
Download or read book Bayesian Data Analysis, Third Edition written by Andrew Gelman and published by CRC Press. This book was released on 2013-11-01 with total page 677 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors—all leaders in the statistics community—introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice. New to the Third Edition Four new chapters on nonparametric modeling Coverage of weakly informative priors and boundary-avoiding priors Updated discussion of cross-validation and predictive information criteria Improved convergence monitoring and effective sample size calculations for iterative simulation Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation New and revised software code The book can be used in three different ways. For undergraduate students, it introduces Bayesian inference starting from first principles. For graduate students, the text presents effective current approaches to Bayesian modeling and computation in statistics and related fields. For researchers, it provides an assortment of Bayesian methods in applied statistics. Additional materials, including data sets used in the examples, solutions to selected exercises, and software instructions, are available on the book’s web page.
Book Synopsis Bayesian Analysis for the Social Sciences by : Simon Jackman
Download or read book Bayesian Analysis for the Social Sciences written by Simon Jackman and published by John Wiley & Sons. This book was released on 2009-10-27 with total page 598 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bayesian methods are increasingly being used in the social sciences, as the problems encountered lend themselves so naturally to the subjective qualities of Bayesian methodology. This book provides an accessible introduction to Bayesian methods, tailored specifically for social science students. It contains lots of real examples from political science, psychology, sociology, and economics, exercises in all chapters, and detailed descriptions of all the key concepts, without assuming any background in statistics beyond a first course. It features examples of how to implement the methods using WinBUGS – the most-widely used Bayesian analysis software in the world – and R – an open-source statistical software. The book is supported by a Website featuring WinBUGS and R code, and data sets.
Book Synopsis Internationale Statistische Rundschau by : Corrado Gini
Download or read book Internationale Statistische Rundschau written by Corrado Gini and published by . This book was released on 2007 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rivista internazionale di statistica. Revue internationale de statistique. International journal of statistics ...
Book Synopsis The Bayesian Choice by : Christian Robert
Download or read book The Bayesian Choice written by Christian Robert and published by Springer Science & Business Media. This book was released on 2007-08-27 with total page 620 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an introduction to Bayesian statistics and decision theory, including advanced topics such as Monte Carlo methods. This new edition contains several revised chapters and a new chapter on model choice.