BFL::Pdf< T > Class Template Reference

Class PDF: Virtual Base class representing Probability Density Functions. More...

#include <pdf.h>

List of all members.

Public Member Functions
virtual Pdf< T > *	Clone () const =0
	Pure virtual clone function.
virtual MatrixWrapper::SymmetricMatrix	CovarianceGet () const
	Get the Covariance Matrix E[(x - E[x])^2] of the Analytic pdf.
unsigned int	DimensionGet () const
	Get the dimension of the argument.
virtual void	DimensionSet (unsigned int dim)
	Set the dimension of the argument.
virtual T	ExpectedValueGet () const
	Get the expected value E[x] of the pdf.
	Pdf (unsigned int dimension=0)
	Constructor.
virtual Probability	ProbabilityGet (const T &input) const
	Get the probability of a certain argument.
virtual bool	SampleFrom (vector< Sample< T > > &list_samples, const unsigned int num_samples, int method=DEFAULT, void *args=NULL) const
	Draw multiple samples from the Pdf (overloaded)
virtual bool	SampleFrom (Sample< T > &one_sample, int method=DEFAULT, void *args=NULL) const
	Draw 1 sample from the Pdf:
virtual	~Pdf ()
	Destructor.
Private Attributes
unsigned int	_dimension
	Dimension of the argument x of P(x | ...).

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Detailed Description

template<typename T>
class BFL::Pdf< T >

Class PDF: Virtual Base class representing Probability Density Functions.

Definition at line 53 of file pdf.h.

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Constructor & Destructor Documentation

template<typename T>

BFL::Pdf< T >::Pdf

(

unsigned int

dimension = 0

)

Constructor.

Parameters:

dimension

int representing the number of rows of the state

template<typename T>

virtual BFL::Pdf< T >::~Pdf

(

)

[virtual]

Destructor.

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Member Function Documentation

template<typename T>

virtual Pdf<T>* BFL::Pdf< T >::Clone

(

)

const [pure virtual]

Pure virtual clone function.

template<typename T>

virtual MatrixWrapper::SymmetricMatrix BFL::Pdf< T >::CovarianceGet

(

)

const [virtual]

Get the Covariance Matrix E[(x - E[x])^2] of the Analytic pdf.

Get first order statistic (Covariance) of this AnalyticPdf

Returns:

The Covariance of the Pdf (a SymmetricMatrix of dim DIMENSION)

Todo:

extend this more general to n-th order statistic

Bug:

Discrete pdfs should not be able to use this!

template<typename T>

unsigned int BFL::Pdf< T >::DimensionGet

(

)

const

Get the dimension of the argument.

Returns:

the dimension of the argument

template<typename T>

virtual void BFL::Pdf< T >::DimensionSet

(

unsigned int

dim

)

[virtual]

Set the dimension of the argument.

Parameters:

dim	the dimension

template<typename T>

virtual T BFL::Pdf< T >::ExpectedValueGet

(

)

const [virtual]

Get the expected value E[x] of the pdf.

Get low order statistic (Expected Value) of this AnalyticPdf

Returns:

The Expected Value of the Pdf (a ColumnVector with DIMENSION rows)

Note:

No set functions here! This can be useful for analytic functions, but not for sample based representations!

For certain discrete Pdfs, this function has no meaning, what is the average between yes and no?

template<typename T>

virtual Probability BFL::Pdf< T >::ProbabilityGet

(

const T &

input

)

const [virtual]

Get the probability of a certain argument.

Parameters:

input

T argument of the Pdf

Returns:

the probability value of the argument

template<typename T>

virtual bool BFL::Pdf< T >::SampleFrom	(	vector< Sample< T > > &	list_samples,
		const unsigned int	num_samples,
		int	method = DEFAULT,
		void *	args = NULL
	)		const [virtual]

Draw multiple samples from the Pdf (overloaded)

Parameters:

list_samples	list of samples that will contain result of sampling
num_samples	Number of Samples to be drawn (iid)
method	Sampling method to be used. Each sampling method is currently represented by a #define statement, eg. #define BOXMULLER 1
args	Pointer to a struct representing extra sample arguments. "Sample Arguments" can be anything (the number of steps a gibbs-iterator should take, the interval width in MCMC, ... (or nothing), so it is hard to give a meaning to what exactly Sample Arguments should represent...

Todo:

replace the C-call "void * args" by a more object-oriented structure: Perhaps something like virtual Sample * Sample (const int num_samples,class Sampler)

Bug:

Sometimes the compiler doesn't know which method to choose!

template<typename T>

virtual bool BFL::Pdf< T >::SampleFrom	(	Sample< T > &	one_sample,
		int	method = DEFAULT,
		void *	args = NULL
	)		const [virtual]

Draw 1 sample from the Pdf:

There's no need to create a list for only 1 sample!

Parameters:

one_sample	sample that will contain result of sampling
method	Sampling method to be used. Each sampling method is currently represented by a #define statement, eg. #define BOXMULLER 1
args	Pointer to a struct representing extra sample arguments

See also:

SampleFrom()

Bug:

Sometimes the compiler doesn't know which method to choose!

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Member Data Documentation

template<typename T>

unsigned int BFL::Pdf< T >::_dimension [private]

Dimension of the argument x of P(x | ...).

Definition at line 145 of file pdf.h.

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

• pdf.h