GitHub Copilot. Write better code with AI · Security. Find and fix vulnerabilities · Actions. Automate any workflow · Codespaces. Instant dev environments.

This repository has course material for Bayesian Data Analysis course at Aalto (CS-E5710). See the course web pages for more information.

John K. Kruschke's Doing Bayesian Data Analysis: A Tutorial with R and BUGS (1e) / A Tutorial with R, JAGS, and Stan (2e).

The Chapter have been updated to ease the introduction of the basic concepts of probability and Bayesian statistics and its implications for data analysis.

Bayesian Data Analysis course Resources. How to study. The following are recommendations from the course creators on how to take the course.

We will teach the fundamental concepts of Bayesian inference and Bayesian modelling, including how Bayesian methods differ from their classical statistics ...

This course has been designed so that there is strong emphasis in computational aspects of Bayesian data analysis and using the latest computational tools.

A collection of Bayesian data analysis recipes using PyMC3 - ericmjl/bayesian-analysis-recipes.

This repository contains some Python demos for the book Bayesian Data Analysis, 3rd ed by Gelman, Carlin, Stern, Dunson, Vehtari, and Rubin (BDA3). See also ...

###For those in a hurry. My first attempt to adapt to Python (using PyMC) the R code from "Doing Bayesian Data Analysis", by John K. Krushcke.