emcee MCMC skill for Bayesian parameter estimation and posterior sampling in physics applications
Scanned 9/2/2026
Install to Claude Code
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---
name: emcee-mcmc-sampler
description: emcee MCMC skill for Bayesian parameter estimation and posterior sampling in physics applications
allowed-tools:
- Bash
- Read
- Write
- Edit
- Glob
- Grep
metadata:
specialization: physics
domain: science
category: data-analysis
phase: 6
graph:
domains: [domain:physics]
skillAreas: [skill-area:statistical-analysis, skill-area:mathematical-reasoning, skill-area:data-analysis]
workflows: [workflow:experiment-design, workflow:peer-review-cycle]
roles: [role:research-scientist, role:computational-scientist]
---
# 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
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