Common types for sampling.
|LTS Haskell 20.25:||1.0.3|
|Stackage Nightly 2023-06-08:||1.0.3|
|Latest on Hackage:||1.0.3|
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Depends on 4 packages(full list with versions):
Used by 5 packages in lts-9.21(full list with versions):
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
Transition types for representing these things respectively.