mcmc-0.8.1.0: Sample from a posterior using Markov chain Monte Carlo
Copyright2021 Dominik Schrempf
LicenseGPL-3.0-or-later
Maintainerdominik.schrempf@gmail.com
Stabilityexperimental
Portabilityportable
Safe HaskellSafe-Inferred
LanguageHaskell2010

Mcmc.Likelihood

Description

Creation date: Wed Mar 3 11:39:04 2021.

Synopsis

Documentation

type Likelihood = Log Double Source #

Likelihood values are stored in log domain.

type LikelihoodFunction a = a -> Log Double Source #

Likelihood function.

type LikelihoodFunctionG a b = a -> Log b Source #

Generalized likelihood function.

noLikelihood :: RealFloat b => LikelihoodFunctionG a b Source #

Flat likelihood function. Useful for testing and debugging.