Inheritance diagram for BCMVCombination:

Collaboration diagram for BCMVCombination:

Classes
struct	NuisanceParameter

Public Member Functions
void	AddObservable (std::string name, double min, double max)

void	AddUncertainty (std::string name)

void	AddMeasurement (std::string name, std::string observable, double value, std::vector< double > uncertainties)

int	GetNObservables ()

int	GetNUncertainties ()

int	GetNMeasurements ()

int	GetNActiveMeasurements ()

BCMVCUncertainty *	GetUncertainty (int index)

BCMVCMeasurement *	GetMeasurement (int index)

TMatrixD	GetCovarianceMatrix ()

TMatrixD	GetBLUEWeights ()

TVectorD	GetBLUECentralValues ()

TVectorD	GetBLUEUncertainties ()

TVectorD	GetBLUEUncertainties (int index)

TMatrixD	GetBLUECovarianceMatrix ()

TMatrixD	GetBLUECovarianceMatrix (int index)

TMatrixD	GetBLUECorrelationMatrix (int index)

TMatrixD	GetBLUECorrelationMatrix ()

std::vector< int >	GetVectorObservable ()

TVectorD	GetVectorMeasurements ()

int	GetIndexMeasurement (std::string measurement, std::string observable)

int	GetIndexUncertainty (std::string name)

int	GetIndexObservable (std::string name)

int	ReadInput (std::string filename)

void	CalculateCorrelationMatrix (int index)

void	CalculateCovarianceMatrix (std::vector< double > nuisance=std::vector< double >(0))

void	CalculateHelperVectors ()

bool	PositiveDefinite ()

void	CalculateBLUE ()

void	PrepareAnalysis ()

void	PrintBLUEResults (std::string filename)

void	PrintMatrix (TMatrixT< double > &matrix, std::string name="matrix")

void	PrintVector (TVectorD &vector, std::string name="vector")

double	LogLikelihood (const std::vector< double > &parameters)

Public Member Functions inherited from BCModel
	BCModel (const char *name="model")

	BCModel (const BCModel &bcmodel)

virtual	~BCModel ()

BCModel &	operator= (const BCModel &bcmodel)

const std::string &	GetName () const

double	GetModelAPrioriProbability () const

double	GetModelAPosterioriProbability () const

BCDataSet *	GetDataSet () const

BCDataPoint *	GetDataPointLowerBoundaries () const

BCDataPoint *	GetDataPointUpperBoundaries () const

double	GetDataPointLowerBoundary (unsigned int index) const

double	GetDataPointUpperBoundary (unsigned int index) const

bool	GetFlagBoundaries () const

unsigned	GetNDataPoints () const

BCDataPoint *	GetDataPoint (unsigned int index) const

void	SetName (const char *name)

void	SetModelAPrioriProbability (double probability)

void	SetModelAPosterioriProbability (double probability)

virtual int	AddParameter (BCParameter *parameter)

void	SetDataSet (BCDataSet *dataset)

void	SetSingleDataPoint (BCDataPoint *datapoint)

void	SetSingleDataPoint (BCDataSet *dataset, unsigned int index)

void	SetDataBoundaries (unsigned int index, double lowerboundary, double upperboundary, bool fixed=false)

void	SetDataPointLowerBoundaries (BCDataPoint *datasetlowerboundaries)

void	SetDataPointUpperBoundaries (BCDataPoint *datasetupperboundaries)

void	SetDataPointLowerBoundary (int index, double lowerboundary)

void	SetDataPointUpperBoundary (int index, double upperboundary)

int	SetPrior (int index, TF1 *f)

int	SetPrior (const char name, TF1 f)

int	SetPriorDelta (int index, double value)

int	SetPriorDelta (const char *name, double value)

int	SetPriorGauss (int index, double mean, double sigma)

int	SetPriorGauss (const char *name, double mean, double sigma)

int	SetPriorGauss (int index, double mean, double sigmadown, double sigmaup)

int	SetPriorGauss (const char *name, double mean, double sigmadown, double sigmaup)

int	SetPrior (int index, TH1 *h, bool flag=false)

int	SetPrior (const char name, TH1 h, bool flag=false)

int	SetPriorConstant (int index)

int	SetPriorConstant (const char *name)

int	SetPriorConstantAll ()

void	Copy (const BCModel &bcmodel)

double	APrioriProbability (const std::vector< double > &parameters)

virtual double	LogAPrioriProbability (const std::vector< double > &parameters)

virtual double	Likelihood (const std::vector< double > &params)

double	ProbabilityNN (const std::vector< double > &params)

double	LogProbabilityNN (const std::vector< double > &parameters)

double	Probability (const std::vector< double > &parameter)

double	LogProbability (const std::vector< double > &parameter)

virtual double	SamplingFunction (const std::vector< double > &parameters)

double	Eval (const std::vector< double > &parameters)

virtual double	LogEval (const std::vector< double > &parameters)

virtual void	CorrelateDataPointValues (std::vector< double > &x)

double	GetPvalueFromChi2 (const std::vector< double > &par, int sigma_index)

double	GetPvalueFromKolmogorov (const std::vector< double > &par, int index)

double	GetPvalueFromChi2NDoF (std::vector< double > par, int sigma_index)

BCH1D *	CalculatePValue (std::vector< double > par, bool flag_histogram=false)

double	GetPValue ()

double	GetPValueNDoF ()

double	GetChi2NDoF ()

std::vector< double >	GetChi2Runs (int dataIndex, int sigmaIndex)

void	SetGoFNIterationsMax (int n)

void	SetGoFNIterationsRun (int n)

void	SetGoFNChains (int n)

double	HessianMatrixElement (const BCParameter parameter1, const BCParameter parameter2, std::vector< double > point)

void	PrintSummary ()

void	PrintResults (const char *file)

void	PrintShortFitSummary (int chi2flag=0)

void	PrintHessianMatrix (std::vector< double > parameters)

virtual double	CDF (const std::vector< double > &, int, bool)

Protected Attributes
std::vector< BCMVCUncertainty * >	fUncertainties

std::vector< BCMVCMeasurement * >	fMeasurements

TMatrixD	fCovarianceMatrix

TMatrixD	fInvCovarianceMatrix

double	fDetCovariance

TVectorD	fVectorMeasurements

TVectorD	fVectorActiveMeasurements

std::vector< int >	fVectorObservable

std::vector< int >	fVectorActiveObservable

TMatrixD	fBLUEWeights

TVectorD	fBLUECentral

TVectorD	fBLUEUncertainties

std::vector< TVectorD >	fBLUEUncertaintiesPerSource

TMatrixD	fBLUECovarianceMatrix

std::vector< TMatrixD >	fBLUECovarianceMatrices

std::vector< TMatrixD >	fBLUECorrelationMatrices

TMatrixD	fBLUECorrelationMatrix

int	fNObservables

int	fNNuisanceCorrelation

std::vector< NuisanceParameter >	fNuisanceCorrelation

std::vector< BCMVCObservable * >	fObservables

Protected Attributes inherited from BCModel
std::string	fName

double	fModelAPriori

double	fModelAPosteriori

BCDataSet *	fDataSet

BCDataPoint *	fDataPointLowerBoundaries

BCDataPoint *	fDataPointUpperBoundaries

std::vector< bool >	fDataFixedValues

double	fPValue

double	fChi2NDoF

double	fPValueNDoF

bool	flag_discrete

int	fGoFNIterationsMax

int	fGoFNIterationsRun

int	fGoFNChains

std::vector< TNamed * >	fPriorContainer

bool	fPriorConstantAll

std::vector< bool >	fPriorContainerConstant

std::vector< bool >	fPriorContainerInterpolate

Detailed Description

Definition at line 26 of file BCMVCombination.h.

Member Function Documentation

double BCMVCombination::LogLikelihood ( const std::vector< double > & params )

virtual

Calculates natural logarithm of the likelihood. Method needs to be overloaded by the user.

Parameters

params A set of parameter values

Returns: Natural logarithm of the likelihood

Implements BCModel.

Reimplemented in BCMVCPhysicsModel.

Definition at line 109 of file BCMVCombination.cxx.

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

/home/beaujean/workspace/bat/models/mvc/BCMVCombination.h
/home/beaujean/workspace/bat/models/mvc/BCMVCombination.cxx

Classes

Public Member Functions

Protected Attributes

Detailed Description

Member Function Documentation