Computes the Gaussian mixture probability density of the difference. More...

Inheritance diagram for BinaryStatistics::GaussianMixtureProbabilityDensity:

Public Member Functions
double	get (const std::vector< double > &, const std::vector< double > &)
	Derived types define the value returned. More...

unsigned	get_ngaus () const
	Return the number of Gaussians.

GaussianMixtureProbabilityDensity *	clone () const
	Derived types must also define clone method.

Public Member Functions inherited from BinaryStatistic
	BinaryStatistic (const std::string &name, const std::string &description)
	Construct with a name and description.

void	set_file (FILE *f)
	Set the file to which auxiliary data will be printed.

Public Attributes
Reference::To< GeneralizedChiSquared >	gcs
	Optionally compute the GM psd of the principal component residuals.

arma::gmm_diag *	model

Additional Inherited Members
Static Public Member Functions inherited from BinaryStatistic
static BinaryStatistic *	factory (const std::string &name)
	Create a new instance of BinaryStatistic based on name.

static const std::vector< BinaryStatistic * > &	children ()
	Returns a list of available BinaryStatistic children.

Protected Attributes inherited from BinaryStatistic
FILE *	fptr
	The file to which auxiliary data will be printed.

Detailed Description

Computes the Gaussian mixture probability density of the difference.

Assumes that one of the vectors is the mean of the distribution.

Member Function Documentation

double GaussianMixtureProbabilityDensity::get	(	const std::vector< double > &	data1,
		const std::vector< double > &	data2
	)

virtual

Derived types define the value returned.

data1 and data2 must have been normalized such that a robust estimate of their variance is equal to unity

References gcs.

The documentation for this class was generated from the following files: