Agent-Skills.md

Agent Skills: Bayesian Inference Engine

Bayesian probabilistic reasoning for prior specification, posterior computation, and belief updating

hypothesis-reasoningID: a5c-ai/babysitter/bayesian-inference-engine

Repository

a5c-ai/babysitter
a5c-aiLicense: MIT
244

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Skill Metadata

Name
bayesian-inference-engine
Description
Bayesian probabilistic reasoning for prior specification, posterior computation, and belief updating

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

  1. Prior Selection: Choose appropriate, defensible priors
  2. Sampling: Use efficient MCMC algorithms
  3. Diagnostics: Check convergence and mixing
  4. Model Comparison: Use appropriate comparison criteria

Tools/Libraries

  • PyMC
  • Stan (PyStan)
  • ArviZ
  • NumPyro