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"

SIB course on bayesian statistics with applications using Rstan

DEPRECATED IN FAVOR OF TuringLang/Turing-Workshop

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

computational and brain/behavior modeling

🎓 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.

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

Code and simulations using biologically annotated neural networks

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 "

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

Formation doctorale d'introduction à la modélisation statistique bayésienne

Material for my Columbia M.A. class "Bayesian Statistics for the Social Sciences"

Introduction to rstanarm