ReddRadar
Agent skill
bayesian-inference-engine
Bayesian probabilistic reasoning for prior specification, posterior computation, and belief updating
Install this agent skill to your Project
npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/domains/science/scientific-discovery/skills/bayesian-inference-engine
Metadata
Additional technical details for this skill
- phase
- 6
- domain
- science
- category
- hypothesis-reasoning
- specialization
- scientific-discovery
SKILL.md
Bayesian Inference Engine
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
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