Applied bayesian statistics: with R and OpenBUGS examples Cowles, Mary Kathryn
Material type: TextSeries: Springer Texts in StatisticsPublication details: New York Springer 2013Description: xiv, 232 pISBN:- 9781461456957
- 519.542 C6A7
Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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Book | Ahmedabad | Non-fiction | 519.542 C6A7 (Browse shelf(Opens below)) | Available | 189234 |
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519.542 B2 Bayesian inference in the social sciences | 519.542 C2 Case studies in Bayesian statistical modelling and analysis | 519.542 C6A7 Applied bayesian hierarchical methods | 519.542 C6A7 Applied bayesian statistics: with R and OpenBUGS examples | 519.542 C6B2 Bayesian models for categorical data | 519.542 C8 Current trends in bayesian methodology with applications | 519.542 G3B2-2014 Bayesian data analysis |
This book is based on over a dozen years teaching a Bayesian Statistics course. The material presented here has been used by students of different levels and disciplines, including advanced undergraduates studying Mathematics and Statistics and students in graduate programs in Statistics, Biostatistics, Engineering, Economics, Marketing, Pharmacy, and Psychology. The goal of the book is to impart the basics of designing and carrying out Bayesian analyses, and interpreting and communicating the results. In addition, readers will learn to use the predominant software for Bayesian model-fitting, R and OpenBUGS. The practical approach this book takes will help students of all levels to build understanding of the concepts and procedures required to answer real questions by performing Bayesian analysis of real data. Topics covered include comparing and contrasting Bayesian and classical methods, specifying hierarchical models, and assessing Markov chain Monte Carlo output.Kate Cowles taught Suzuki piano for many years before going to graduate school in Biostatistics. Her research areas are Bayesian and computational statistics, with application to environmental science. She is on the faculty of Statistics at The University of Iowa.(http://www.springer.com/gp/book/9781461456957)
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