MCMC sampling

Markov Chain Monte Carlo (MCMC) methods for Bayesian inference. Sample from posterior distributions of model parameters given data and priors.

Samplers

MCMC samplers for generating posterior samples.

EmceeSampler([nwalkers, n_samples, ...])

MCMC sampler using emcee (https://emcee.readthedocs.io).

Result

Objects for handling and analyzing MCMC results.

PosteriorSamples(samples, params, loss, ...)

Posterior samples from MCMC bayesian inference.