merger Class Reference

Function for general combination of pdfs. More...

#include <merger.h>

Inheritance diagram for merger:

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Collaboration diagram for merger:

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List of all members.

Public Member Functions
	merger (const Array< mpdf * > &in_sources)
	Default constructor.
virtual	~merger ()
	for future use
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.
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
enorm< fsqmat >	condpdf
	Additional pdf on the part in condition (if undefined);.
Array< ivec >	overlaps
	Find potential overlaps in rv.
int	n
Array< epdf * >	epdfs
Array< mpdf * >	mpdfs
Array< ivec >	rvinds
	Indeces of rvs in common rv.
Array< ivec >	rvcinrv
	Indeces of rvc in common rv.
Array< ivec >	rvcinds
	Indeces of rvc in common rvc.
RV	rv
	modeled random variable
RV	rvc
	random variable in condition
epdf *	ep
	pointer to internal epdf

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Detailed Description

Function for general combination of pdfs.

Parent of simple arithmentic or geometric combinations

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Constructor & Destructor Documentation

virtual merger::~merger

(

)

[inline, virtual]

for future use

sample from merged density weight w is a

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Member Function Documentation

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

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(), mpdf::rv, mprod::rvcinds, mprod::rvcinrv, and mprod::rvinds.

Referenced by mprod::samplecond().

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

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 mprod::samplecond().

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

• work/git/mixpp/bdm/stat/merger.h