Agent skill

stan-bayesian-modeling

Stan probabilistic programming for Bayesian inference

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Install this agent skill to your Project

npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/domains/science/mathematics/skills/stan-bayesian-modeling

Metadata

Additional technical details for this skill

phase
6
domain
science
category
statistical-computing
specialization
mathematics

SKILL.md

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

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