Agent-Skills.md

Agent Skills: MCMC Diagnostics

MCMC convergence diagnostics and analysis

statistical-computingID: a5c-ai/babysitter/mcmc-diagnostics

Repository

a5c-ai/babysitter
a5c-aiLicense: MIT
244

Install this agent skill to your local

pnpm dlx add-skill https://github.com/a5c-ai/babysitter/tree/HEAD/library/specializations/domains/science/mathematics/skills/mcmc-diagnostics

Skill Files

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library/specializations/domains/science/mathematics/skills/mcmc-diagnostics/SKILL.md

Skill Metadata

Name
mcmc-diagnostics
Description
MCMC convergence diagnostics and analysis

MCMC Diagnostics

Purpose

Provides MCMC convergence diagnostics and analysis capabilities for validating Bayesian inference results.

Capabilities

  • Rhat (potential scale reduction) computation
  • Effective sample size (ESS) calculation
  • Trace plot generation
  • Autocorrelation analysis
  • Divergence detection
  • Energy diagnostic (E-BFMI)

Usage Guidelines

  1. Convergence Check: Verify Rhat < 1.01 for all parameters
  2. Sample Quality: Ensure ESS is sufficient for inference
  3. Visual Inspection: Review trace plots for mixing
  4. Divergences: Address divergent transitions

Tools/Libraries

  • ArviZ
  • CODA
  • MCMCpack