BAT  0.9.4
The Bayesian analysis toolkit
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BCMVCDataModel Class Reference
Inheritance diagram for BCMVCDataModel:
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Public Member Functions

 BCMVCDataModel (BCMVCombination *mvc)
 
void SetNMeasurements (int n, double min, double max)
 
void SetVectorMeasurements (TVectorD measurements)
 
void SetParameters (std::vector< double > parameters)
 
void SetMeasurementRanges (const std::vector< double > &min, const std::vector< double > &max)
 
void SetMeasurementRanges (double min, double max)
 
void SetVectorObservable (std::vector< int > vec)
 
void SetCovarianceMatrix (TMatrixD matrix)
 
void SetHistChi2 (TH1D *hist)
 
void PrintToys (std::string filename)
 
void PrintSummary ()
 
double Chi2 (TVectorD observables, TVectorD measurements)
 
double LogAPrioriProbability (const std::vector< double > &parameters)
 
double LogLikelihood (const std::vector< double > &parameters)
 
void MCMCUserIterationInterface ()
 
- 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 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)
 

Additional Inherited Members

- 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 24 of file BCMVCDataModel.h.

Member Function Documentation

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

Returns natural logarithm of the prior probability. Method needs to be overloaded by the user.

Parameters
parametersA set of parameter values
Returns
The prior probability p(parameters)
See Also
GetPrior(std::vector<double> parameters)

Reimplemented from BCModel.

Definition at line 128 of file BCMVCDataModel.cxx.

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

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

Parameters
paramsA set of parameter values
Returns
Natural logarithm of the likelihood

Implements BCModel.

Definition at line 103 of file BCMVCDataModel.cxx.

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