Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

R Markdown notes for Peter D. Hoff, "A First Course in Bayesian Statistical Methods"

DEPRECATED IN FAVOR OF TuringLang/Turing-Workshop

SIB course on bayesian statistics with applications using Rstan

computational and brain/behavior modeling

Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC

🎓 Uni-Bonn Decision Analysis graduate course, lectures and materials

A batteries-included template for Bayesian data analysis projects

Berlin Bayesians' solutions to Bayesian Data Analysis, 3rd edition.

Code and simulations using biologically annotated neural networks

Supplementary materials for McLevey 2021 Doing Computational Social Science (Sage, UK).

Underlying code for the online stats training website.

Simon Jackman's "BUGS Examples" translated into Stan

Workshop Materials "Advanced Bayesian Statistical Modeling in R and Stan "

Formation doctorale d'introduction à la modélisation statistique bayésienne

Example code for a possible talk at R/Medicine 2021 (submitted and under review, accepted talks not yet determined)

Course website and materials for Biology 609, Advanced Data Analysis for Biology, at UMass Boston

Introduction to rstanarm

Workshop - Introduction to Bayesian statistical modelling