emcee-mcmc-sampler

# 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