A Student's Guide to Bayesian Statistics Ben Lambert is an English-language textbook that provides a clear introduction to Bayesian statistics. The book is suitable for higher-education students who want to learn the fundamentals and applications of Bayesian analysis.
This guide combines theory with practical elements such as exercises, visual aids, online video tutorials, and interactive simulations. The author explains complex concepts in an accessible way without neglecting technical content. The structure is logical and gradual, as students become familiar step by step with core concepts, Bayes’ rule, computational Bayesian methods, and the use of software such as R and Stan.
The book covers, among other things:
- An introduction to probability theory and Bayesian inference
- Understanding Bayes’ rule
- Bayesian analysis methods
- Computational Bayes and practical examples
- Regression analysis and hierarchical models
This unique study guide is an indispensable reference for anyone who wants to apply Bayesian analysis in statistical research and analyses.