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

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

Code and simulations using biologically annotated neural networks

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

Underlying code for the online stats training website.

A batteries-included template for Bayesian data analysis projects

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

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)

Introduction to rstanarm

Workshop - Introduction to Bayesian statistical modelling

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

Bayesian implementation of capture-recapture models with robust design

Project for the Bayesian Statistics exam at University of Trieste