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Pymc probabilistic programming

Skill a5c-ai/babysitter/library/specializations/domains/science/mathematics/skills/pymc-probabilistic-programming

PyMC for flexible Bayesian modelingFrom its SKILL.md

Install
npx -y skills add a5c-ai/babysitter --skill pymc-probabilistic-programming

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SKILL.md

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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

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

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