This project implements a classic Epidemiological SIR (Susceptible-Infected-Recovered) model using Bayesian inference in Stan and R. It analyzes the famous 1978 outbreak of influenza at a British ...

Understanding how to update beliefs from evidence is a foundational skill in statistics and machine learning. This project gives you a practical beginner workflow where you can: specify prior beliefs ...

In the ever-evolving toolkit of statistical analysis techniques, Bayesian statistics has emerged as a popular and powerful methodology for making decisions from data in the applied sciences. Bayesian ...

This book's organization : read me first! -- Introduction : models we believe in -- What is this stuff called probability? -- Bayes' rule -- Inferring a binomial proportion via exact mathematical ...