Leon Di Stefano's repositories
2024spring
UCLA Biostat M257 - 2024 Spring
are213
PhD Applied Econometrics class taught at UC Berkeley
Bayesian_Statistical_Modeling_with_Stan_R_and_Python
Kentaro Matsuura (2023). Bayesian Statistical Modeling with Stan, R, and Python. Springer, Singapore.
applied-methods-phd
Repo for Yale Applied Empirical Methods PHD Course
bamdd
Applied modelling in drug development: flexible Bayesian regression modelling in Stan via brms
bayes_course_june_2024
Probabilistic Programming and Bayesian Computing with PyMC
BI-BE-CS-183-2023
Introduction to Computational Biology and Bioinformatics Course at Caltech, 2023
cs228-notes
Course notes for CS228: Probabilistic Graphical Models.
deepr
Deep R Programming (Open-Access Textbook)
FriendsDontLetFriends
Friends don't let friends make certain types of data visualization - What are they and why are they bad.
git-from-the-bottom-up
An introduction to the architecture and design of the Git content manager
gov2002-book
Course notes for part of Gov 2002 at Harvard
ims
📚 Introduction to Modern Statistics - A college-level open-source textbook with a modern approach highlighting multivariable relationships and simulation-based inference. For v1, see https://openintro-ims.netlify.app.
martin-lof
papers of Per Martin Löf
nix-starter-configs
Simple and documented config templates to help you get started with NixOS + home-manager + flakes. All the boilerplate you need!
physalia-gam-course
Generalized Additive Models; a data-driven approach to estimating regression models
pymc_sdss_2024
SDSS 2024 Course: Probabilistic Programming and Bayesian Computing with PyMC
sdss_2024_course
SDSS 2024 Course: Probabilistic Programming and Bayesian Computing with PyMC
The-Art-of-Linear-Algebra
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
thoughts-on-talks
a short document with my thoughts on giving a good talk