Scholarly Book Review on Bayesian Statistics for Beginners: A Step-by-Step Approach
Eahsan Shahriary, Amir Hajibabaee
Asian Journal of Probability and Statistics · pp. 1–4 · Published 25 Oct 2020
10.9734/ajpas/2020/v9i330226Abstract
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.
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