mpdf Class Reference

Conditional probability density, e.g. modeling some dependencies. More...

#include <libBM.h>

Inheritance diagram for mpdf:

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Collaboration diagram for mpdf:

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List of all members.

Public Member Functions
virtual vec	samplecond (const vec &cond, double &ll)
	Returns the required moment of the epdf.
virtual mat	samplecond (const vec &cond, vec &ll, int N)
	Returns.
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.
virtual	~mpdf ()
	Destructor for future use;.
	mpdf (const RV &rv0, const RV &rvc0)
	Default constructor.
RV	_rvc ()
	access function
RV	_rv ()
	access function
epdf &	_epdf ()
	access function
Protected Attributes
RV	rv
	modeled random variable
RV	rvc
	random variable in condition
epdf *	ep
	pointer to internal epdf

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Detailed Description

Conditional probability density, e.g. modeling some dependencies.

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Member Function Documentation

virtual vec mpdf::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 in mprod, and mlnorm< sq_T >.

References condition(), ep, epdf::evalpdflog(), and epdf::sample().

Referenced by MPF< BM_T >::bayes(), and PF::bayes().

virtual mat mpdf::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 in mprod, and mlnorm< sq_T >.

References condition(), RV::count(), ep, epdf::evalpdflog(), rv, and epdf::sample().

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

• work/git/mixpp/bdm/stat/libBM.h