mcmc-0.8.0.1: 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.Statistics.Types

Description

Creation date: Tue Feb 23 14:51:06 2021.

Synopsis

Documentation

type Mean a = a Source #

Mean of a distribution.

type StandardDeviation a = a Source #

Standard deviation of a distribution.

type Variance a = a Source #

Variance of a distribution.

type Shape a = a Source #

Shape of a distribution.

type Scale a = a Source #

Scale of a distribution.

type Rate a = a Source #

Rate of a distribution.

type Dimension = Int Source #

Dimension of a distribution.

type Size = Double Source #

Size of a distribution.

For example, the size of the interval of the uniform distribution.

type LowerBoundary a = a Source #

Lower boundary of a distribution.

type UpperBoundary a = a Source #

Upper boundary of a distribution.