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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.
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.