1# Library to Find Best eBook for Read
Author : Marcel van Oijen
Release :
Genre :
Kind : eBook
Book Rating : 854/5 ( reviews)
Book Synopsis Bayesian Compendium by : Marcel van Oijen
Download or read book Bayesian Compendium written by Marcel van Oijen. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt:
Author : Andrew Gelman
Release : 2013-11-01
Genre : Mathematics
Kind : eBook
Book Rating : 954/5 ( reviews)
Book Synopsis Bayesian Data Analysis, Third Edition by : Andrew Gelman
Download or read book Bayesian Data Analysis, Third Edition written by Andrew Gelman. This book was released on 2013-11-01. 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.
Author : David Lunn
Release : 2012-10-02
Genre : Mathematics
Kind : eBook
Book Rating : 664/5 ( reviews)
Book Synopsis The BUGS Book by : David Lunn
Download or read book The BUGS Book written by David Lunn. This book was released on 2012-10-02. Available in PDF, EPUB and Kindle. Book excerpt: Bayesian statistical methods have become widely used for data analysis and modelling in recent years, and the BUGS software has become the most popular software for Bayesian analysis worldwide. Authored by the team that originally developed this software, The BUGS Book provides a practical introduction to this program and its use. The text presents
Author : Ming-Hui Chen
Release : 2010-07-24
Genre : Mathematics
Kind : eBook
Book Rating : 446/5 ( reviews)
Book Synopsis Frontiers of Statistical Decision Making and Bayesian Analysis by : Ming-Hui Chen
Download or read book Frontiers of Statistical Decision Making and Bayesian Analysis written by Ming-Hui Chen. This book was released on 2010-07-24. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : John Thompson
Release : 2014-05-06
Genre : Mathematics
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Bayesian Analysis with Stata by : John Thompson
Download or read book Bayesian Analysis with Stata written by John Thompson. This book was released on 2014-05-06. Available in PDF, EPUB and Kindle. Book excerpt: Bayesian Analysis with Stata is a compendium of Stata user-written commands for Bayesian analysis.
