Stan Bayesian Modeling
SkillAI & modelsStan probabilistic programming for Bayesian inference
Use Stan Bayesian Modeling in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add Stan Bayesian Modeling and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use the Stan Bayesian Modeling skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/mathematics/skills/stan-bayesian-modeling/SKILL.md and read by Ahel’s review.
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
Signals
- GitHub stars
- 2k
- Forks
- 113
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
stan-bayesian-modeling- Source
- github.com/a5c-ai/babysitter