Bayes for Beginners
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Beschreibung
Bayes for Beginners is an entry-level book on Bayesian statistics. Written in a casual, conversational tone, the authors walk the reader through many sample problems step-by-step, beginning with basic concepts in probability and ending with regression analysis with Markov Chain Monte Carlo (MCMC), Bayesian networks, and decision trees.
The book is intended to provide readers with little background in math or statistics with the vocabulary, notation, and understanding of the calculations used in many Bayesian problems, setting the stage for continued learning.
- Unlike most introductory books on Bayes’ Theorem, which cover very basic uses of the Theorem, this book covers a wide range of applications, from simple to complex.
- 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 text has numerous links to web-based material, e.g., the Oxford Dictionary of Statistics (Cook and Upton 2014); Wolfram Mathematics; the Online Statistics Education: An Interactive Multimedia Course for Study (Rice University, University of Houston Clear Lake, and Tufts University); Wikipedia; Encyclopedia Britannica).
Autor*in
Therese Donovan
Themen in »Bayes for Beginners«
Bayes for Beginners Bayesian Probability Statistics Therese Donovan Undergraduate