Agent skill
stan-bayesian-modeling
Stan probabilistic programming for Bayesian inference
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
- Model Specification: Write Stan code with clear blocks
- Prior Selection: Choose appropriate, weakly informative priors
- Diagnostics: Check Rhat, ESS, and divergences
- Model Comparison: Use LOO-CV for model selection
Tools/Libraries
- Stan
- CmdStan
- RStan
- PyStan
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