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Bayesian Statistics for Beginners – a step-by-step approach - Oxford Scholarship Online
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Bayesian Statistics for Beginners: a step-by-step approach

Therese Donovan and Ruth M. Mickey

Abstract

Bayesian Statistics for Beginners is an entry-level book on Bayesian statistics. It is like no other math book you’ve read. It is written for readers who do not have advanced degrees in mathematics and who may struggle with mathematical notation, yet need to understand the basics of Bayesian inference for scientific investigations. Intended as a “quick read,” the entire book is written as an informal, humorous conversation between the reader and writer—a natural way to present material for those new to Bayesian inference. The most impressive feature of the book is the sheer length of the journ ... More

Keywords: probability, conditional probability, Bayes’ Theorem, scientific method, prior distribution, posterior distribution, likelihood, conjugate prior, Markov Chain Monte Carlo, Bayesian belief network, decision tree

Bibliographic Information

Print publication date: 2019 Print ISBN-13: 9780198841296
Published to Oxford Scholarship Online: July 2019 DOI:10.1093/oso/9780198841296.001.0001

Authors

Affiliations are at time of print publication.

Therese Donovan, author
Wildlife Biologist, U.S. Geological Survey, Vermont Cooperative Fish and Wildlife Research Unit, University of Vermont, USA

Ruth M. Mickey, author
Professor Emerita, Department of Mathematics and Statistics, University of Vermont, USA

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