.. currentmodule:: pints
Pints provides a number of MCMC methods, all implementing the :class:`MCMC` interface, that can be used to sample from an unknown :class:`PDF<pints.LogPDF>` (usually a Bayesian :class:`Posterior<pints.LogPosterior>`).
.. toctree::
running
base_classes
adaptive_covariance_mc
differential_evolution_mcmc
dream_mcmc
emcee_hammer_mcmc
haario_ac_mcmc
haario_bardenet_ac_mcmc
hamiltonian_mcmc
mala_mcmc
metropolis_mcmc
monomial_gamma_hamiltonian_mcmc
population_mcmc
rao_blackwell_ac_mcmc
relativistic_mcmc
slice_covariance_matching
slice_doubling_mcmc
slice_stepout_mcmc
summary_mcmc