Springer Texts in Statistics

Applied Bayesian Statistics

With R and OpenBUGS Examples

Authors: Cowles, Mary Kathryn

  • Practical approach is good for students of all levels
  • Based on over 12 years teaching Bayesian Statistics
  • R and OpenBUGS are essential to modern Bayesian applications
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eBook $54.99
price for USA (gross)
  • ISBN 978-1-4614-5696-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $69.95
price for USA
  • ISBN 978-1-4614-5695-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $69.95
price for USA
  • ISBN 978-1-4899-9704-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
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About this Textbook

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.

About the authors

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.

Reviews

From the book reviews:

“Tise textbook is based on the author’s course ‘Bayesian statistics’ and thus it is organised in an incremental manner that, using a variety of practical examples, guides the readers, students and researchers, through the concepts and methodologies required to perform Bayesian analysis. … Each chapter contains examples that underline the important theoretical concepts that are presented and concludes with a selection of problems and exercises. … this book is equally valuable to researchers and lecturers who wish to know more about Bayesian inference.” (Irina Ioana Mohorianu, zbMATH, Vol. 1276, 2014)

“This book … provides a gentle introduction to both the theory and the ‘nuts and bolts’ of Bayesian analysis. … For those (students in particular) who are looking for a friendly introduction to what is becoming a more popular statistical approach in many areas of science, Applied Bayesian Statistics: With R and OpenBUGS Examples is a very appropriate starting point, one that will give the reader enough understanding and experience to move on to more advanced treatments … .” (Nicole Lazar, Technometrics, Vol. 55 (4), November, 2013)


Table of contents (11 chapters)

  • What Is Bayesian Statistics?

    Cowles, Mary Kathryn

    Pages 1-11

  • Review of Probability

    Cowles, Mary Kathryn

    Pages 13-23

  • Introduction to One-Parameter Models: Estimating a Population Proportion

    Cowles, Mary Kathryn

    Pages 25-47

  • Inference for a Population Proportion

    Cowles, Mary Kathryn

    Pages 49-65

  • Special Considerations in Bayesian Inference

    Cowles, Mary Kathryn

    Pages 67-79

Buy this book

eBook $54.99
price for USA (gross)
  • ISBN 978-1-4614-5696-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $69.95
price for USA
  • ISBN 978-1-4614-5695-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $69.95
price for USA
  • ISBN 978-1-4899-9704-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Applied Bayesian Statistics
Book Subtitle
With R and OpenBUGS Examples
Authors
Series Title
Springer Texts in Statistics
Series Volume
98
Copyright
2013
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media New York
Distribution Rights
Distribution rights for India: Researchco Book Centre, New Delhi, India
eBook ISBN
978-1-4614-5696-4
DOI
10.1007/978-1-4614-5696-4
Hardcover ISBN
978-1-4614-5695-7
Softcover ISBN
978-1-4899-9704-3
Series ISSN
1431-875X
Edition Number
1
Number of Pages
XIV, 232
Topics