TMelange Class Reference

#include <TMelange.h>

Collaboration diagram for TMelange:

Public Member Functions
	TMelange (Int_t n)
	Generator of random number. More...
	~TMelange ()
void	_printlog ()
void	setTaille (Int_t n)
Int_t	getTaille ()
Int_t	getTailleMelange ()
Double_t	eval (TVectorD X)
Double_t	eval (Double_t x)
Int_t	getDimMelange ()
TNtupleD *	getTuple ()
TVectorD	getSeuil ()
Double_t	getProb (Int_t i)
TVectorD	getMean (Int_t i)
TVectorD	getMean ()
TVectorD	getVariance ()
TVectorD	getSigma ()
TMatrixD	getMatEcartTypeCorrelation (Int_t i)
TMatrixD	getMatEcartTypeCorrelation ()
TVectorD	getSigma (Int_t i)
TMatrixD	getMatCorrelation (Int_t i)
TMatrixD	getMatCovariance (Int_t i)
TMatrixD	getMatCovariance ()
TMatrixD	getMatCorrelation ()
Double_t	getObs ()
void	simulationMelange ()
	Classic simulation of a mixing. More...
void	addLoi (TVectorD moy, TMatrixD ecartTypeCorr, Double_t proba)
void	removeLoi (Int_t i)
void	addTuple (TNtupleD *t)
TVectorD	LoiDeZ (TVectorD X)
	Computes the conditional repartition function for X belonging to a mode. More...
TVectorD	discrimination (TVectorD X)
	Computes for each mode, the 'a posteriori' probability that X belongs to the mode. Enables to undertake a discriminant analysis. More...
void	reset ()
void	remplacer (Int_t i, TVectorD M, TMatrixD A)
	Replaces the component i by a component N(M,A) More...
void	afficher ()
	Prints the characteristics of mixing modes. More...

Private Attributes
TNormale *	f
TList *	lLoi
	Normal law used for intermediary calculations. More...
Int_t	_tailleMelange
	Chained list used to go through the mixing. More...
Int_t	_taille
Int_t	_dimMelange
	Sample size to be simulated. More...
TNtupleD *	_nt
TRandom *	_rand
	Tuple in which the sample is stocked. More...

Constructor & Destructor Documentation

TMelange()

TMelange::TMelange

(

Int_t

n

)

Generator of random number.

References _dimMelange, _nt, _rand, _taille, _tailleMelange, f, and lLoi.

~TMelange()

TMelange::~TMelange

(

)

References lLoi.

Member Function Documentation

_printlog()

void TMelange::_printlog

(

)

References _taille, and _tailleMelange.

addLoi()

void TMelange::addLoi	(	TVectorD	moy,
		TMatrixD	ecartTypeCorr,
		Double_t	proba
	)

References _dimMelange, _tailleMelange, TDistribution::getDim(), lLoi, and TDistribution::setProb().

Referenced by TMCMC::NKCSampling().

addTuple()

void TMelange::addTuple

(

TNtupleD *

t

)

References _nt.

Referenced by simulationMelange().

afficher()

void TMelange::afficher

(

)

Prints the characteristics of mixing modes.

References getMatEcartTypeCorrelation(), getMean(), and getTailleMelange().

discrimination()

TVectorD TMelange::discrimination

(

TVectorD

X

)

Computes for each mode, the 'a posteriori' probability that X belongs to the mode. Enables to undertake a discriminant analysis.

References _tailleMelange, TNormale::eval(), eval(), f, getMatEcartTypeCorrelation(), getMean(), getProb(), TDistribution::setMatEcartTypeCorrelation(), and TDistribution::setMean().

Referenced by TMCMC::gibbsSampling(), TMCMC::randomWalkMetropolisSampling(), and TMCMC::varTimeMetropolisSampling().

eval() [1/2]

Double_t TMelange::eval

(

TVectorD

X

)

References _tailleMelange, TNormale::eval(), f, getMatEcartTypeCorrelation(), getMean(), getProb(), TDistribution::setMatEcartTypeCorrelation(), and TDistribution::setMean().

Referenced by discrimination(), LoiDeZ(), TMCMC::NKCSampling(), TMCMC::randomWalkMetropolisSampling(), and TMCMC::varTimeMetropolisSampling().

eval() [2/2]

Double_t TMelange::eval

(

Double_t

x

)

References _tailleMelange, TNormale::eval(), f, getMatEcartTypeCorrelation(), getMean(), getProb(), TDistribution::setMatEcartTypeCorrelation(), and TDistribution::setMean().

getDimMelange()

Int_t TMelange::getDimMelange ( )

inline

References _dimMelange.

Referenced by TMCMC::Draw(), TMCMC::gibbsSampling(), TMCMC::NKCSampling(), TMCMC::NKCSampling2(), TMCMC::randomWalkMetropolisSampling(), and TMCMC::varTimeMetropolisSampling().

getMatCorrelation() [1/2]

TMatrixD TMelange::getMatCorrelation

(

Int_t

i

)

References _tailleMelange, TDistribution::getMatCorrelation(), and lLoi.

getMatCorrelation() [2/2]

TMatrixD TMelange::getMatCorrelation

(

)

References _dimMelange, getMatCovariance(), and getSigma().

Referenced by getMatEcartTypeCorrelation().

getMatCovariance() [1/2]

TMatrixD TMelange::getMatCovariance

(

Int_t

i

)

References _tailleMelange, TDistribution::getMatCovariance(), and lLoi.

getMatCovariance() [2/2]

TMatrixD TMelange::getMatCovariance

(

)

References _dimMelange, _tailleMelange, and getProb().

Referenced by getMatCorrelation(), and getVariance().

getMatEcartTypeCorrelation() [1/2]

TMatrixD TMelange::getMatEcartTypeCorrelation

(

Int_t

i

)

References _tailleMelange, TDistribution::getMatEcartTypeCorrelation(), and lLoi.

Referenced by TMCMC::Draw(), TMCMC::gibbsSampling(), TMCMC::NKCSampling(), TMCMC::NKCSampling2(), and TMCMC::randomWalkMetropolisSampling().

getMatEcartTypeCorrelation() [2/2]

TMatrixD TMelange::getMatEcartTypeCorrelation

(

)

References _dimMelange, getMatCorrelation(), and getSigma().

Referenced by afficher(), discrimination(), eval(), and LoiDeZ().

getMean() [1/2]

TVectorD TMelange::getMean

(

Int_t

i

)

References _tailleMelange, TDistribution::getMean(), and lLoi.

Referenced by TMCMC::Draw(), TMCMC::gibbsSampling(), and TMCMC::NKCSampling2().

getMean() [2/2]

TVectorD TMelange::getMean

(

)

References _dimMelange, _tailleMelange, and getProb().

Referenced by afficher(), discrimination(), eval(), and LoiDeZ().

getObs()

Double_t TMelange::getObs

(

)

References _rand, TNormale::getObs(), getSeuil(), and lLoi.

getProb()

Double_t TMelange::getProb

(

Int_t

i

)

References _tailleMelange, TDistribution::getProb(), and lLoi.

Referenced by discrimination(), eval(), getMatCovariance(), getMean(), LoiDeZ(), TMCMC::NKCSampling2(), and remplacer().

getSeuil()

TVectorD TMelange::getSeuil

(

)

References _tailleMelange, TDistribution::getProb(), and lLoi.

Referenced by getObs(), and simulationMelange().

getSigma() [1/2]

TVectorD TMelange::getSigma

(

)

References _dimMelange, and getVariance().

Referenced by TMCMC::Draw(), getMatCorrelation(), getMatEcartTypeCorrelation(), and TMCMC::varTimeMetropolisSampling().

getSigma() [2/2]

TVectorD TMelange::getSigma

(

Int_t

i

)

References _tailleMelange, TDistribution::getSigma(), and lLoi.

getTaille()

Int_t TMelange::getTaille ( )

inline

References _taille.

getTailleMelange()

Int_t TMelange::getTailleMelange ( )

inline

References _tailleMelange.

Referenced by afficher(), TMCMC::Draw(), TMCMC::gibbsSampling(), TMCMC::NKCSampling2(), TMCMC::randomWalkMetropolisSampling(), and TMCMC::varTimeMetropolisSampling().

getTuple()

TNtupleD* TMelange::getTuple ( )

inline

References _nt.

Referenced by TMCMC::gibbsSampling(), TMCMC::NKCSampling(), TMCMC::NKCSampling2(), TMCMC::randomWalkMetropolisSampling(), and TMCMC::varTimeMetropolisSampling().

getVariance()

TVectorD TMelange::getVariance

(

)

References getMatCovariance().

Referenced by getSigma().

LoiDeZ()

TVectorD TMelange::LoiDeZ

(

TVectorD

X

)

Computes the conditional repartition function for X belonging to a mode.

References _tailleMelange, TNormale::eval(), eval(), f, getMatEcartTypeCorrelation(), getMean(), getProb(), TDistribution::setMatEcartTypeCorrelation(), and TDistribution::setMean().

Referenced by TMCMC::gibbsSampling().

removeLoi()

void TMelange::removeLoi

(

Int_t

i

)

References _tailleMelange, and lLoi.

remplacer()

void TMelange::remplacer	(	Int_t	i,
		TVectorD	M,
		TMatrixD	A
	)

Replaces the component i by a component N(M,A)

References _dimMelange, getProb(), lLoi, and TDistribution::setProb().

reset()

void TMelange::reset

(

)

References _tailleMelange, and lLoi.

Referenced by TMCMC::NKCSampling().

setTaille()

void TMelange::setTaille ( Int_t  n )

inline

References _taille.

simulationMelange()

void TMelange::simulationMelange

(

)

Classic simulation of a mixing.

In a firt step, the classic simulation consists in selecting ramdomly an integer, then choosing a sample corresponding to the law which contains the index. The law is recovered from thresholds \( 0 < s_{1} < \cdots < s_{N} = 1.0\). For each law, we count the number of times \( l\) that an integer \( U \in [0, 1]\) is located betweeen \( s_{l} < u < s_{l+1}\). Finally, for each law \( l\), a \( n_{l}\) sample is chosen, with the constraint that the sum \( \sum_{l}{n_{l}}\) is equal to the desired size.

References _rand, _taille, _tailleMelange, TNormale::acceptationRejet(), addTuple(), getSeuil(), TDistribution::getTuple(), lLoi, and TDistribution::setTaille().

Member Data Documentation

_dimMelange

Int_t TMelange::_dimMelange

private

Sample size to be simulated.

Referenced by addLoi(), getDimMelange(), getMatCorrelation(), getMatCovariance(), getMatEcartTypeCorrelation(), getMean(), getSigma(), remplacer(), and TMelange().

_nt

TNtupleD* TMelange::_nt

private

Referenced by addTuple(), getTuple(), and TMelange().

_rand

TRandom* TMelange::_rand

private

Tuple in which the sample is stocked.

Referenced by getObs(), simulationMelange(), and TMelange().

_taille

Int_t TMelange::_taille

private

Referenced by _printlog(), getTaille(), setTaille(), simulationMelange(), and TMelange().

_tailleMelange

Int_t TMelange::_tailleMelange

private

Chained list used to go through the mixing.

Referenced by _printlog(), addLoi(), discrimination(), eval(), getMatCorrelation(), getMatCovariance(), getMatEcartTypeCorrelation(), getMean(), getProb(), getSeuil(), getSigma(), getTailleMelange(), LoiDeZ(), removeLoi(), reset(), simulationMelange(), and TMelange().

f

TNormale* TMelange::f

private

Referenced by discrimination(), eval(), LoiDeZ(), and TMelange().

lLoi

TList* TMelange::lLoi

private

Normal law used for intermediary calculations.

Referenced by addLoi(), getMatCorrelation(), getMatCovariance(), getMatEcartTypeCorrelation(), getMean(), getObs(), getProb(), getSeuil(), getSigma(), removeLoi(), remplacer(), reset(), simulationMelange(), TMelange(), and ~TMelange().