2025

JAX 202: Bayesian Sampling with BlackJax
October 31, 2025
JAX 201: Multi-GPU Training with pmap
October 30, 2025
JAX 103: Vectorization with vmap
October 30, 2025
MCMC 102: Hamiltonian Monte Carlo Chains
October 29, 2025
MCMC 101: Leapfrog Integrator
October 28, 2025
JAX 102: Control Flow with lax
October 27, 2025
JAX 101
October 26, 2025
Function Tools 101
October 25, 2025
Stan 103: Effective Sample Size
October 24, 2025
Stan 102: Trusting R-hat
October 23, 2025
Stan 101 with Logistic Regression
October 22, 2025
Demystifying the Stable Unit Treatment Value Assumption
October 15, 2025
Causal Inference 101
October 12, 2025
MCP 101
October 4, 2025