Bayesian Inference Engine
SkillAI & modelsBayesian probabilistic reasoning for prior specification, posterior computation, and belief updating
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Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
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What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/scientific-discovery/skills/bayesian-inference-engine/SKILL.md and read by Ahel’s review.
Purpose
Provides Bayesian probabilistic reasoning capabilities for prior specification, posterior computation, and sequential belief updating.
Capabilities
- Prior elicitation support
- MCMC sampling (NUTS, HMC)
- Variational inference
- Model comparison (Bayes factors, LOO-CV)
- Posterior predictive checking
- Sequential belief updating
Usage Guidelines
- Prior Selection: Choose appropriate, defensible priors
- Sampling: Use efficient MCMC algorithms
- Diagnostics: Check convergence and mixing
- Model Comparison: Use appropriate comparison criteria
Tools/Libraries
- PyMC
- Stan (PyStan)
- ArviZ
- NumPyro
Signals
- GitHub stars
- 2k
- Forks
- 113
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
bayesian-inference-engine- Source
- github.com/a5c-ai/babysitter
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