A pointer to the Harvard Data Science Review Editor's Column: Xiao-Li Meng's ongoing series of essays on statistical thinking, data science, and AI.
A pointer to the CRAN Bayesian Inference Task View: a curated, regularly updated map of 200+ R packages for Bayesian modeling, MCMC, and convergence diagnostics.
A practical, workflow-oriented Git & GitHub reference — the staging-area mental model, core concepts, everyday commands, branching, rebasing, .gitignore, handling leaked secrets, and resolving merge conflicts.
A hard lesson I learned with Git.
My notes for Bayesian Statistics in 2024 Spring at UF
My notes for Stochastic Process in 2019 Spring at USTC