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
- Model Setup: Define log-probability function
- Initialization: Initialize walkers appropriately
- Sampling: Run ensemble sampler
- Convergence: Check autocorrelation and convergence
- Analysis: Extract posterior distributions
Tools/Libraries
- emcee
- corner
- arviz