MetropolisHastingDiscreteT Method (Int32, T)

Creates a new MetropolisHasting sampler using symmetric geometric distributions as the parameter proposal generation priors.

Namespace: Accord.Statistics.Distributions.Sampling
Assembly: Accord.Statistics (in Accord.Statistics.dll) Version: 3.8.0

Syntax

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public static MetropolisHasting<int, Independent<SymmetricGeometricDistribution, int>, T> Discrete<T>(
	int dimensions,
	T distribution
)
where T : Object, IMultivariateDistribution<int[]>

Public Shared Function Discrete(Of T As {Object, IMultivariateDistribution(Of Integer())}) ( 
	dimensions As Integer,
	distribution As T
) As MetropolisHasting(Of Integer, Independent(Of SymmetricGeometricDistribution, Integer), T)

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Parameters

dimensions: Type: SystemInt32
The number of dimensions in each observation.
distribution: Type: T
The target distribution whose samples should be generated.

Type Parameters

T

Return Value

Type: MetropolisHastingInt32, IndependentSymmetricGeometricDistribution, Int32, T
A sampling algorithm that can generate samples from the target distribution.

Reference

MetropolisHasting Class

Discrete Overload

Accord.Statistics.Distributions.Sampling Namespace

MetropolisHastingAddLanguageSpecificTextSet("LST5D9EE648_0?cpp=::|nu=.");DiscreteAddLanguageSpecificTextSet("LST5D9EE648_1?cs=&lt;|vb=(Of |cpp=&lt;|fs=&lt;'|nu=(");TAddLanguageSpecificTextSet("LST5D9EE648_2?cs=&gt;|vb=)|cpp=&gt;|fs=&gt;|nu=)"); Method (Int32, T)

Parameters

Type Parameters

Return Value

Reference

MetropolisHastingDiscreteT Method (Int32, T)