DirichletDistribution.LogProbabilityDensityFunction Method

public override double LogProbabilityDensityFunction(
	Vector<double> x
)

Public Overrides Function LogProbabilityDensityFunction ( 
	x As Vector(Of Double)
) As Double

public:
virtual double LogProbabilityDensityFunction(
	Vector<double>^ x
) override

abstract LogProbabilityDensityFunction : 
        x : Vector<float> -> float 
override LogProbabilityDensityFunction : 
        x : Vector<float> -> float 

Parameters

x  Vector<Double>

A vector within the domain of the distribution

Return Value

The probability density function (PDF) of a statistical distribution gives an indication of the density of samples taken from the distribution.

The probability density function is a positive function.

The Dirichlet distribution requires that the sum of the components of x equals 1. You can also leave out the last component, and it will be computed from the others.

Reference