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Bayesian inference engine

Skill a5c-ai/babysitter/library/specializations/domains/science/scientific-discovery/skills/bayesian-inference-engine

Bayesian probabilistic reasoning for prior specification, posterior computation, and belief updatingFrom its SKILL.md

Install
npx -y skills add a5c-ai/babysitter --skill bayesian-inference-engine

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SKILL.md

1.3 KB, 157 tokens by cl100k_base, as published. Nobody here has run it

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

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

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