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The Resource Applied Bayesian statistics : with R and OpenBUGS examples, Mary Kathryn Cowles

Applied Bayesian statistics : with R and OpenBUGS examples, Mary Kathryn Cowles

Label
Applied Bayesian statistics : with R and OpenBUGS examples
Title
Applied Bayesian statistics
Title remainder
with R and OpenBUGS examples
Statement of responsibility
Mary Kathryn Cowles
Creator
Subject
Language
eng
Summary
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. -- P.4 of cover
Member of
Cataloging source
IND
http://library.link/vocab/creatorName
Cowles, Mary Kathryn
Illustrations
illustrations
Index
index present
Literary form
non fiction
Nature of contents
bibliography
Series statement
Springer texts in statistics,
http://library.link/vocab/subjectName
Bayesian statistical decision theory
Label
Applied Bayesian statistics : with R and OpenBUGS examples, Mary Kathryn Cowles
Instantiates
Publication
Bibliography note
Includes bibliographical references (pages 227-229) and index
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
1. What is Bayesian statistics? -- 2. Review of probability -- 3. Introduction to one-parameter models : estimating a population proportion -- 4. Inference for a population proportion -- 5. Special considerations in Bayesian inference -- 6. Other one-parameter models and their conjugate priors -- 7. More realism please : introduction to multiparameter models -- 8. Fitting more complex Bayesian models : Markov chain Monte Carlo -- 9. Hierarchical models and more on convergence assessment -- 10. Regression on hierarchical regression models -- 11. Model comparison, model checking, and hypothesis testing
Control code
838102161
Dimensions
24 cm
Extent
xiv, 232 pages
Isbn
9781461456957
Lccn
2012951150
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
Other physical details
illustrations (some color)
System control number
(OCoLC)838102161
Label
Applied Bayesian statistics : with R and OpenBUGS examples, Mary Kathryn Cowles
Publication
Bibliography note
Includes bibliographical references (pages 227-229) and index
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
1. What is Bayesian statistics? -- 2. Review of probability -- 3. Introduction to one-parameter models : estimating a population proportion -- 4. Inference for a population proportion -- 5. Special considerations in Bayesian inference -- 6. Other one-parameter models and their conjugate priors -- 7. More realism please : introduction to multiparameter models -- 8. Fitting more complex Bayesian models : Markov chain Monte Carlo -- 9. Hierarchical models and more on convergence assessment -- 10. Regression on hierarchical regression models -- 11. Model comparison, model checking, and hypothesis testing
Control code
838102161
Dimensions
24 cm
Extent
xiv, 232 pages
Isbn
9781461456957
Lccn
2012951150
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
Other physical details
illustrations (some color)
System control number
(OCoLC)838102161

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