Researchers in numerical cognition rely on hypothesis testing and parameter estimation to evaluate the evidential value of data.

Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep ...

This project implements a classic Epidemiological SIR (Susceptible-Infected-Recovered) model using Bayesian inference in Stan and R.

In the ever-evolving toolkit of statistical analysis techniques, Bayesian statistics has emerged as a popular and powerful ...