PyMC Fundamentals
When to Use This Skill
- Writing new PyMC models in Python
- Understanding PyMC syntax and API
- Converting models from Stan/JAGS to PyMC
- Diagnosing sampling issues with ArviZ
Model Structure
import pymc as pm
import numpy as np
import arviz as az
with pm.Model() as model:
# 1. Priors
mu = pm.Normal("mu", mu=0, sigma=10)
sigma = pm.HalfNormal("sigma", sigma=1)
# 2. Likelihood
y_obs = pm.Normal("y_obs", mu=mu, sigma=sigma, observed=y
[Description truncada. Veja o README completo no GitHub.]
