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Emcee mcmc sampler

Skill a5c-ai/babysitter/library/specializations/domains/science/physics/skills/emcee-mcmc-sampler

emcee MCMC skill for Bayesian parameter estimation and posterior sampling in physics applicationsFrom its SKILL.md

Install
npx -y skills add a5c-ai/babysitter --skill emcee-mcmc-sampler

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

1.2 KB, 145 tokens by cl100k_base, as published. Nobody here has run it

emcee MCMC Sampler

Purpose

Provides expert guidance on emcee for Bayesian parameter estimation in physics, including ensemble sampling and convergence diagnostics.

Capabilities

  • Affine-invariant ensemble sampling
  • Parallel tempering support
  • Autocorrelation analysis
  • Convergence diagnostics
  • Prior/likelihood specification
  • Chain visualization

Usage Guidelines

  1. Model Setup: Define log-probability function
  2. Initialization: Initialize walkers appropriately
  3. Sampling: Run ensemble sampler
  4. Convergence: Check autocorrelation and convergence
  5. Analysis: Extract posterior distributions

Tools/Libraries

  • emcee
  • corner
  • arviz

What ships with it

Read from the repository

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

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