Scholarly Book Review on Bayesian Statistics for Beginners: A Step-by-Step Approach
Eahsan Shahriary *
Environmental Science and Engineering Program, University of Texas at El Paso, El Paso, Texas 79968, USA.
Amir Hajibabaee
Research Engineer, Research & Development Department, Ozinga Ready Mix Concrete, Inc., 2222 S Lumber Street, Chicago, IL 60616, USA.
*Author to whom correspondence should be addressed.
Abstract
This book offers the students and researchers a unique introduction to Bayesian statistics. Authors provide a wonderful journey in the realm of Bayesian Probability and aspire readers to become Bayesian statisticians. The book starts with Introduction to Probability and covers Bayes’ Theorem, Probability Mass Functions, Probability Density Functions, The Beta-Binomial Conjugate, Markov chain Monte Carlo (MCMC), and Metropolis-Hastings Algorithm. The book is very well written, and topics are very to the point with real-world applications but does not provide examples for computing using common open-source software.
Keywords: Bayesian probability, PDF, PMF, Gibbs sampling, MCMC.