mcmc-types: Common types for sampling.

Common types for implementing Markov Chain Monte Carlo (MCMC) algorithms.

An instance of an MCMC problem can be characterized by the following:

• A target distribution over some parameter space

• A parameter space for a Markov chain to wander over

• A transition operator to drive the Markov chain

mcmc-types provides the suitably-general Target, Chain, and Transition types for representing these things respectively.

Modules

[Index]

Downloads

• mcmc-types-1.0.0.tar.gz [browse] (Cabal source package)
• Package description (revised from the package)

Note: This package has metadata revisions in the cabal description newer than included in the tarball. To unpack the package including the revisions, use 'cabal get'.

Maintainer's Corner

Package maintainers

• JaredTobin

For package maintainers and hackage trustees

• edit package information

Candidates

• No Candidates