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Stan bayesian modeling

Skill a5c-ai/babysitter/library/specializations/domains/science/mathematics/skills/stan-bayesian-modeling

Stan probabilistic programming for Bayesian inferenceFrom its SKILL.md

Install
npx -y skills add a5c-ai/babysitter --skill stan-bayesian-modeling

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

1.2 KB, 157 tokens by cl100k_base, as published. Nobody here has run it

Stan Bayesian Modeling

Purpose

Provides Stan probabilistic programming capabilities for Bayesian inference and statistical modeling.

Capabilities

  • Stan model specification
  • MCMC sampling (NUTS, HMC)
  • Variational inference
  • Prior predictive checks
  • Posterior predictive checks
  • Model comparison (LOO-CV, WAIC)

Usage Guidelines

  1. Model Specification: Write Stan code with clear blocks
  2. Prior Selection: Choose appropriate, weakly informative priors
  3. Diagnostics: Check Rhat, ESS, and divergences
  4. Model Comparison: Use LOO-CV for model selection

Tools/Libraries

  • Stan
  • CmdStan
  • RStan
  • PyStan

What ships with it

Read from the repository

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

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