Based on the author's extensive experience in both statistics and education, this book imparts the basics of designing and carrying out Bayesian analyses, and interpreting and communicating the results. Demonstrates applications to real-world data.

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“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)

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