pymc-probabilistic-programming

# 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