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