mprod Class Reference

Chain rule decomposition of epdf. More...

#include <emix.h>

Inheritance diagram for mprod:

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Collaboration diagram for mprod:

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List of all members.

Public Member Functions
	mprod (Array< mpdf * > mFacs)
	Constructor from list of mFacs, Additional parameter overlap is left for future use. Do not set to true for mprod.
double	evalpdflog (const vec &val) const
vec	samplecond (const vec &cond, double &ll)
	Returns the required moment of the epdf.
mat	samplecond (const vec &cond, vec &ll, int N)
	Returns.
RV	getrv (bool checkoverlap=false)
void	setrvc (const RV &rv, RV &rvc)
void	setindices (const RV &rv)
void	setrvcinrv (const RV &rvc, Array< ivec > &rvcind)
virtual void	condition (const vec &cond)
	Update ep so that it represents this mpdf conditioned on rvc = cond.
virtual double	evalcond (const vec &dt, const vec &cond)
	Shortcut for conditioning and evaluation of the internal epdf. In some cases, this operation can be implemented efficiently.
RV	_rvc ()
	access function
RV	_rv ()
	access function
epdf &	_epdf ()
	access function
Protected Attributes
Array< epdf * >	epdfs
Array< ivec >	rvcinds
	Indeces of rvc in common rvc.
int	n
	Number of mpdfs in the composite.
Array< mpdf * >	mpdfs
	Elements of composition.
Array< ivec >	rvsinrv
	Indeces of rvs in common rv.
Array< ivec >	rvcsinrv
	Indeces of rvc in common rv.
RV	rv
	modeled random variable
RV	rvc
	random variable in condition
epdf *	ep
	pointer to internal epdf

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Detailed Description

Chain rule decomposition of epdf.

Probability density in the form of Chain-rule decomposition: \[ f(x_1,x_2,x_3) = f(x_1|x_2,x_3)f(x_2,x_3)f(x_3) \] Note that

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Member Function Documentation

vec mprod::samplecond	(	const vec &	cond,
		double &	ll
	)			[inline, virtual]

Returns the required moment of the epdf.

Returns a sample from the density conditioned on cond, .

Parameters:

	cond	is numeric value of rv
	ll	is a return value of log-likelihood of the sample.

Reimplemented from mpdf.

References RV::count(), compositepdf::mpdfs, compositepdf::n, mpdf::rv, rvcinds, compositepdf::rvcsinrv, and compositepdf::rvsinrv.

Referenced by samplecond().

mat mprod::samplecond	(	const vec &	cond,
		vec &	ll,
		int	N
	)			[inline, virtual]

Returns.

Parameters:

	N	samples from the density conditioned on cond, .
	cond	is numeric value of rv
	ll	is a return value of log-likelihood of the sample.

Reimplemented from mpdf.

References RV::count(), mpdf::rv, and samplecond().

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

• work/git/mixpp/bdm/stat/emix.h