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Doing Bayesian data analysis : a tutorial introduction with R and BUGS by John K. Kruschke is a mathematics available to read on EtoBox.

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There is an explosion of interest in Bayesian statistics, primarily because recently created computational methods have finally made Bayesian analysis tractable and accessible to a wide audience. Doing Bayesian Data Analysis, A Tutorial Introduction with R and BUGS, is for first year graduate students or advanced undergraduates and provides an accessible approach, as all mathematics is explained intuitively and with concrete examples. It assumes only algebra and 'rusty' calculus. Unlike other textbooks, this book begins with the basics, including essential concepts of probability and random sampling. The book gradually climbs all the way to advanced hierarchical modeling methods for realistic data. The text provides complete examples with the R programming language and BUGS software (both freeware), and begins with basic programming examples, working up gradually to complete programs for complex analyses and presentation graphics. These templates can be easily adapted for a large variety of students and their own research needs.The textbook bridges the students from their undergraduate training into modern Bayesian methods. -Accessible, including the basics of essential concepts of

Who reads Doing Bayesian data analysis : a tutorial introduction with R and BUGS?

Author

John K. Kruschke

Publisher

Academic Press, Incorporated

Published

2010

Language

EN

ISBN

9780123814852

Category

mathematics

Subjects

Mathematics, Stem

Rating

4.7 / 5 (82 ratings)

Updated

2026-03-14