name: pymc-probabilistic-programming description: PyMC for flexible Bayesian modeling allowed-tools:

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PyMC Probabilistic Programming

Purpose

Provides PyMC capabilities for flexible Bayesian modeling and probabilistic programming in Python.

Capabilities

• Hierarchical model specification
• Custom distributions
• Gaussian processes
• MCMC and variational inference
• Model diagnostics
• ArviZ integration for visualization

Usage Guidelines

1. Model Building: Use PyMC context managers
2. Custom Distributions: Define distributions when needed
3. Hierarchical Models: Build proper hierarchical structures
4. Visualization: Use ArviZ for diagnostic plots

Tools/Libraries

• PyMC
• ArviZ
• Theano/PyTensor