mcmc-0.5.0.0: Sample from a posterior using Markov chain Monte Carlo
Copyright(c) 2021 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 = Double Source #

Mean of a distribution.

type StandardDeviation = Double Source #

Standard deviation of a distribution.

type Variance = Double Source #

Variance of a distribution.

type Shape = Double Source #

Shape of a distribution.

type Scale = Double Source #

Scale of a distribution.

type Rate = Double 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 = Double Source #

Lower boundary of a distribution.

type UpperBoundary = Double Source #

Upper boundary of a distribution.