Posts

2025

PyMC 201: Advanced Topics — Custom Operations and Distributions
PyMC 104: Change-point modeling — Coal mining disasters
PyMC 103: Linear Regression With Synthetic Plants
PyMC 102: Regularized Regression with the Horseshoe Prior
PyMC 101: Overview and Workflow
PKPD_META 106: Two-Patient PKPD Workflow with Stand ODE and RStan
PKPD Meta 105: Single-Patient Bayesian Workflow
PKPD Meta 104: Mapping the Gelman ODE into Stan
PKPD Meta 103: Recasting the Drug–Disease Turnover Model
PKPD Meta 102: Semimechanistic Turnover Logic
PKPD Meta 101: Modeling the Modern Drug Discovery Process
PKPD 104: Turnover Models for Indirect Response
PKPD 103: Effect Compartment Models
PKPD 102: Direct Response PD Models
PKPD 101: Deriving the One-Compartment Oral Model
JAX 203: Probabilistic Programming with Bamojax
JAX 202: Bayesian Sampling with BlackJax
JAX 201: Multi-GPU Training with pmap
JAX 103: Vectorization with vmap
MCMC 102: Hamiltonian Monte Carlo Chains
MCMC 101: Leapfrog Integrator
JAX 102: Control Flow with lax
JAX 101
Function Tools 101
Stan 103: Effective Sample Size
Stan 102: Trusting R-hat
Stan 101 with Logistic Regression
Understanding Collider Structures in DAGs
Demystifying the Stable Unit Treatment Value Assumption
Demystifying the Positivity Assumption
Demystifying the Exchangeability Assumption
Causal Inference 101
MCP 101
Welcome to DRC Lab