Ben Lambert.
A Student's Guide to Bayesian Statistics.
Sage. 2018
Supported by a wealth of learning features, exercises and visual elements
as well as video tutorials and interactive simulations,
this book is the first student-focused introduction to Bayesian statistics.
It covers:
• An introduction to probability and Bayesian inference
• Understanding Bayes’ rule
• The nuts and bolts of Bayesian analytic methods
• Computational Bayes and real-world Bayesian analysis
• Regression analysis and hierarchical methods
From the basic concepts of statistical inference, to complex applications of analyses, this book will help any student develop the statistical confidence and skills to put the Bayesian formula into practice.