Bayesian Statistics: The Basics

Bayesian Statistics: The Basics provides a comprehensive yet accessible introduction to Bayesian statistics, specifically tailored for any researcher with an interest in statistical methods.It covers the theoretical foundations of Bayesian inference, contrasting it with classical statistical methods like null hypothesis significance testing.The book emphasizes key concepts such as prior and posterior distributions, Bayes’ theorem, and the Bayes factor, making them understandable even for readers with minimal mathematical backgrounds. Methodologically, the book offers practical, step-by-step guides on how to conduct Bayesian analyses using the free software package JASP.Each chapter focuses on applying Bayesian methods to common research designs with real-world data.Readers will benefit from the clear examples, visualizations, and JASP screenshots that ensure the learning experience is interactive and easy to follow. Full of practical content, the book emphasizes the advantages of Bayes