pymc-probabilistic-programming

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PyMC for flexible Bayesian modeling

General

What this skill does


# 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

Files: 1

Size: 0.9 KB

Complexity: 8/100

Category: General

Source: https://github.com/a5c-ai/babysitter/tree/main/library/specializations/domains/science/mathematics/skills/pymc-probabilistic-programming

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