A class to represent a gaussian prior of a parameter. More...

#include <BCGaussianPrior.h>

Inheritance diagram for BCGaussianPrior:

Collaboration diagram for BCGaussianPrior:

Public Member Functions
Constructor & Destructor
	BCGaussianPrior (double mean, double sigma)
	Constructor.

virtual	~BCGaussianPrior ()
	Destructor.

Functions overloaded from BCPrior
virtual BCPrior *	Clone () const
	Clone function.

virtual bool	IsValid () const

virtual double	GetLogPrior (double x)
	Get log of prior. More...

virtual double	GetMode (double xmin=-std::numeric_limits< double >::infinity(), double xmax=std::numeric_limits< double >::infinity())
	Return mode of prior (in range). More...

virtual double	GetRawMoment (unsigned n, double xmin=-std::numeric_limits< double >::infinity(), double xmax=std::numeric_limits< double >::infinity())
	Get raw moment of prior distrubion. More...

virtual double	GetIntegral (double xmin=-std::numeric_limits< double >::infinity(), double xmax=std::numeric_limits< double >::infinity())
	Get integral of prior. More...

Setters
void	SetMean (double mean)

void	SetSigma (double sigma)

void	SetParameters (double mean, double sigma)

Public Member Functions inherited from BCPrior
	BCPrior ()
	Empty constructor.

	BCPrior (const BCPrior &other)
	Copy constructor.

virtual	~BCPrior ()
	Destructor.

virtual double	GetLogNormalizedPrior (double x)
	Get log of normalized prior. More...

virtual double	GetPrior (double x, bool normalize=false)
	Get prior. More...

virtual TF1 &	GetFunction ()
	Return back ROOT TF1 evaluating BCPrior::GetPrior.

virtual const TF1 &	GetFunction () const
	Return back ROOT TF1 evaluating BCPrior::GetPrior.

virtual void	SetFunctionRange (double xmin, double xmax)
	Set range of ROOT TF1 function. More...

virtual double	GetCentralMoment (unsigned n, double xmin=-std::numeric_limits< double >::infinity(), double xmax=std::numeric_limits< double >::infinity())
	Get central moment of prior distrubion. More...

virtual double	GetStandardizedMoment (unsigned n, double xmin=-std::numeric_limits< double >::infinity(), double xmax=std::numeric_limits< double >::infinity())
	Get standardised moment of prior distrubion. More...

virtual double	GetMean (double xmin=-std::numeric_limits< double >::infinity(), double xmax=std::numeric_limits< double >::infinity())
	Get mean of prior. More...

virtual double	GetVariance (double xmin=-std::numeric_limits< double >::infinity(), double xmax=std::numeric_limits< double >::infinity())
	Get variance of prior. More...

virtual double	GetStandardDeviation (double xmin=-std::numeric_limits< double >::infinity(), double xmax=std::numeric_limits< double >::infinity())
	Get standard deviation of prior. More...

virtual double	GetSkewness (double xmin=-std::numeric_limits< double >::infinity(), double xmax=std::numeric_limits< double >::infinity())
	Get skewness of prior. More...

virtual double	GetKurtosis (double xmin=-std::numeric_limits< double >::infinity(), double xmax=std::numeric_limits< double >::infinity())
	Get kurtosis of prior. More...

virtual double	GetRandomValue (double xmin, double xmax, TRandom *const R=NULL)

virtual double	GetPriorForROOT (double x, double )
	For accessing prior as ROOT TF1.

virtual double	GetNormalizedPriorForROOT (double x, double )
	For accessing normalized prior as ROOT TF1.

virtual double	GetLogPriorForROOT (double x, double )
	For accessing log(prior) as ROOT TF1.

virtual double	GetNormalizedLogPriorForROOT (double x, double )
	For accessing normalized log(prior) as ROOT TF1.

virtual double	CalculateAndStoreIntegral (double xmin=-std::numeric_limits< double >::infinity(), double xmax=std::numeric_limits< double >::infinity())
	Calculate and store integral for use in normalized TF1s.

virtual void	StoreIntegral (double I)
	Store integral;.

virtual void	StoreLogIntegral (double logI)
	Store log(integral);.

virtual double	GetStoredIntegral () const
	Get stored integral. More...

virtual double	GetStoredLogIntegral () const
	Get stored integral. More...

virtual void	FillHistogramByCenterValue (TH1 *h)
	Fill histogram by prior evaluated at bin center. More...

virtual void	FillHistogramByIntegral (TH1 *h)
	Fill histogram by integrating prior over bin and dividing by bin width. More...

virtual BCH1D	GetBCH1D (TH1 *bins, const std::string &name="prior")
	Get BCH1D object for prior. More...

virtual BCH2D	GetBCH2D (BCPrior ordinate, TH2 bins, const std::string &name="prior")
	Get BCH2D object for prior. More...

Protected Attributes
double	fMean

double	fSigma
	std dev of Gaussian

Protected Attributes inherited from BCPrior
double	fLogIntegral
	Log of integral of unnormalized pdf over the range.

TF1	fPriorFunction

Detailed Description

A class to represent a gaussian prior of a parameter.

Author: Daniel Greenwald

Version: 1.0

Date: 01.2015

Definition at line 33 of file BCGaussianPrior.h.

Member Function Documentation

double BCGaussianPrior::GetIntegral	(	double	xmin = `-std::numeric_limits<double>::infinity()`,
		double	xmax = `std::numeric_limits<double>::infinity()`
	)

virtual

Get integral of prior.

Parameters

xmin	lower limit of range to evaluate over
xmax	upper limit of range to evaluate over

Returns: integral of prior

Reimplemented from BCPrior.

Definition at line 66 of file BCGaussianPrior.cxx.

virtual double BCGaussianPrior::GetLogPrior ( double x )

inlinevirtual

Get log of prior.

Parameters

x	value to evaluate log of prior at

Returns: log of prior

Implements BCPrior.

Definition at line 63 of file BCGaussianPrior.h.

virtual double BCGaussianPrior::GetMode	(	double	xmin = `-std::numeric_limits<double>::infinity()`,
		double	xmax = `std::numeric_limits<double>::infinity()`
	)

inlinevirtual

Return mode of prior (in range).

Parameters

xmin	lower limit of range to evaluate over
xmax	upper limit of range to evaluate over

Returns: mode of prior in range.

Reimplemented from BCPrior.

Definition at line 71 of file BCGaussianPrior.h.

double BCGaussianPrior::GetRawMoment	(	unsigned	n,
		double	xmin = `-std::numeric_limits<double>::infinity()`,
		double	xmax = `std::numeric_limits<double>::infinity()`
	)

virtual

Get raw moment of prior distrubion.

If limits are infinite, use exact value from prior type.

Parameters

n	moment number
xmin	lower limit of range to evaluate over
xmax	upper limit of range to evaluate over

Returns: raw moment of prior distribution

Reimplemented from BCPrior.

Definition at line 23 of file BCGaussianPrior.cxx.

virtual bool BCGaussianPrior::IsValid ( ) const

inlinevirtual

Returns: Whether everything needed for prior is set and prior can be used.

Implements BCPrior.

Definition at line 56 of file BCGaussianPrior.h.

Member Data Documentation

double BCGaussianPrior::fMean

protected

mean of Gaussian

Definition at line 106 of file BCGaussianPrior.h.

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

/root/bat/BAT/BCGaussianPrior.h
/root/bat/src/BCGaussianPrior.cxx

Public Member Functions

Protected Attributes

Detailed Description

Member Function Documentation

Member Data Documentation