Agent
Expert in current PyMC for Bayesian modeling in Python. Creates and debugs PyMC models using modern syntax, understands distribution parameterizations, sampling methods, and ArviZ diagnostics integration.
23 tagged clinical trials, measured the same way as everything else here.
Browse within: bayesian-statistics 23tidymodels 23
Agent
Expert in current PyMC for Bayesian modeling in Python. Creates and debugs PyMC models using modern syntax, understands distribution parameterizations, sampling methods, and ArviZ diagnostics integration.
Agent
Expert in modern Stan programming for Bayesian inference. Creates and debugs Stan models using cmdstanr, understands all 7 program blocks, HMC/NUTS optimization, and current Stan syntax.
Agent
Executes Stan, JAGS, WinBUGS, and PyMC models with test data to validate syntax and sampling. Generates synthetic data, runs short MCMC chains, and reports convergence diagnostics.