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PyMC Bayesian Modeling
Overview
PyMC is a Python library for Bayesian statistical modeling and probabilistic programming. It provides an expressive syntax for defining probabilistic models and efficient inference via MCMC (NUTS) and variational methods (ADVI). This skill covers the full Bayesian modeling cycle from model specification through diagnostics, comparison, and prediction.
When to Use
Estimating parameters with full uncertainty quantification (credible intervals, not just
[Description truncada. Veja o README completo no GitHub.]
