ROOT  6.06/09
Reference Guide
Public Member Functions | Protected Member Functions | Private Attributes | List of all members
RooStats::BayesianCalculator Class Reference

BayesianCalculator is a concrete implementation of IntervalCalculator, providing the computation of a credible interval using a Bayesian method.

The class works only for one single parameter of interest and it integrates the likelihood function with the given prior probability density function to compute the posterior probability. The result of the class is a one dimensional interval (class SimpleInterval ), which is obtained from inverting the cumulative posterior distribution. This calculator works then only for model with a single parameter of interest. The model can instead have several nuisance parameters which are integrated (marginalized) in the computation of the posterior function. The intergration and normalization of the posterior is computed using numerical integration methods provided by ROOT. See the MCMCCalculator for model with multiple parameters of interest.

The interface allows one to construct the class by passing the data set, probability density function for the model, the prior functions and then the parameter of interest to scan. The nuisance parameters can also be passed to be marginalized when computing the posterior. Alternatively, the class can be constructed by passing the data and the ModelConfig containing all the needed information (model pdf, prior pdf, parameter of interest, nuisance parameters, etc..)

After configuring the calculator, one only needs to ask GetInterval(), which will return an SimpleInterval object. By default the extrem of the integral are obtained by inverting directly the cumulative posterior distribution. By using the method SetScanOfPosterior(nbins) the interval is then obtained by scanning the posterior function in the given number of points. The firts method is in general faster but it requires an integration one extra dimension ( in the poi in addition to the nuisance parameters), therefore in some case it can be less robust.

The class can also return the posterior function (method GetPosteriorFunction) or if needed the normalized posterior function (the posterior pdf) (method GetPosteriorPdf). A posterior plot is also obtained using the GetPosteriorPlot method.

The class allows to use different integration methods for integrating in (marginalizing) the nuisances and in the poi. All the numerical integration methods of ROOT can be used via the method SetIntegrationType (see more in the documentation of this method).

Calculator estimating a credible interval using the Bayesian procedure. The calculator computes given the model the posterior distribution and estimates the credible interval from the given function.

Definition at line 84 of file BayesianCalculator.h.

Public Member Functions

 BayesianCalculator ()
 constructor More...
 
 BayesianCalculator (RooAbsData &data, RooAbsPdf &pdf, const RooArgSet &POI, RooAbsPdf &priorPdf, const RooArgSet *nuisanceParameters=0)
 
 BayesianCalculator (RooAbsData &data, ModelConfig &model)
 
virtual ~BayesianCalculator ()
 destructor More...
 
RooPlotGetPosteriorPlot (bool norm=false, double precision=0.01) const
 get the plot with option to get it normalized More...
 
RooAbsPdfGetPosteriorPdf () const
 return posterior pdf (object is managed by the BayesianCalculator class) More...
 
RooAbsRealGetPosteriorFunction () const
 return posterior function (object is managed by the BayesianCalculator class) More...
 
virtual SimpleIntervalGetInterval () const
 compute the interval. More...
 
virtual void SetData (RooAbsData &data)
 Set the DataSet ( add to the the workspace if not already there ?) More...
 
virtual void SetModel (const ModelConfig &model)
 set the model via the ModelConfig More...
 
virtual void SetParameters (const RooArgSet &set)
 specify the parameters of interest in the interval More...
 
virtual void SetNuisanceParameters (const RooArgSet &set)
 specify the nuisance parameters (eg. the rest of the parameters) More...
 
virtual void SetPriorPdf (RooAbsPdf &pdf)
 Set only the Prior Pdf. More...
 
virtual void SetConditionalObservables (const RooArgSet &set)
 set the conditional observables which will be used when creating the NLL so the pdf's will not be normalized on the conditional observables when computing the NLL More...
 
virtual void SetTestSize (Double_t size)
 set the size of the test (rate of Type I error) ( Eg. 0.05 for a 95% Confidence Interval) More...
 
virtual void SetConfidenceLevel (Double_t cl)
 set the confidence level for the interval (eg. 0.95 for a 95% Confidence Interval) More...
 
virtual Double_t Size () const
 Get the size of the test (eg. rate of Type I error) More...
 
virtual Double_t ConfidenceLevel () const
 Get the Confidence level for the test. More...
 
void SetLeftSideTailFraction (Double_t leftSideFraction)
 set the fraction of probability content on the left tail Central limits use 0.5 (default case) for upper limits it is 0 and 1 for lower limit For shortest intervals a negative value (i.e. More...
 
void SetShortestInterval ()
 set the Bayesian calculator to compute the shorest interval (default is central interval) to switch off SetLeftSideTailFraction to the rght value More...
 
void SetBrfPrecision (double precision)
 set the precision of the Root Finder More...
 
void SetScanOfPosterior (int nbin=100)
 use directly the approximate posterior function obtained by binning it in nbins by default the cdf is used by integrating the posterior if a value of nbin <= 0 the cdf function will be used More...
 
virtual void SetNumIters (Int_t numIters)
 set the number of iterations when running a MC integration algorithm If not set use default algorithmic values In case of ToyMC sampling of the nuisance the value is 100 In case of using the GSL MCintegrations types the default value is defined in ROOT::Math::IntegratorMultiDimOptions::DefaultNCalls() More...
 
void SetIntegrationType (const char *type)
 set the integration type (possible type are) : More...
 
double GetMode () const
 return the mode (most probable value of the posterior function) More...
 
void ForceNuisancePdf (RooAbsPdf &pdf)
 force the nuisance pdf when using the toy mc sampling More...
 
- Public Member Functions inherited from RooStats::IntervalCalculator
virtual ~IntervalCalculator ()
 
- Public Member Functions inherited from TNamed
 TNamed ()
 
 TNamed (const char *name, const char *title)
 
 TNamed (const TString &name, const TString &title)
 
 TNamed (const TNamed &named)
 
TNamedoperator= (const TNamed &rhs)
 TNamed assignment operator. More...
 
virtual ~TNamed ()
 
virtual void Clear (Option_t *option="")
 Set name and title to empty strings (""). More...
 
virtual TObjectClone (const char *newname="") const
 Make a clone of an object using the Streamer facility. More...
 
virtual Int_t Compare (const TObject *obj) const
 Compare two TNamed objects. More...
 
virtual void Copy (TObject &named) const
 Copy this to obj. More...
 
virtual void FillBuffer (char *&buffer)
 Encode TNamed into output buffer. More...
 
virtual const char * GetName () const
 Returns name of object. More...
 
virtual const char * GetTitle () const
 Returns title of object. More...
 
virtual ULong_t Hash () const
 Return hash value for this object. More...
 
virtual Bool_t IsSortable () const
 
virtual void SetName (const char *name)
 Change (i.e. More...
 
virtual void SetNameTitle (const char *name, const char *title)
 Change (i.e. set) all the TNamed parameters (name and title). More...
 
virtual void SetTitle (const char *title="")
 Change (i.e. set) the title of the TNamed. More...
 
virtual void ls (Option_t *option="") const
 List TNamed name and title. More...
 
virtual void Print (Option_t *option="") const
 Print TNamed name and title. More...
 
virtual Int_t Sizeof () const
 Return size of the TNamed part of the TObject. More...
 
- Public Member Functions inherited from TObject
 TObject ()
 
 TObject (const TObject &object)
 TObject copy ctor. More...
 
TObjectoperator= (const TObject &rhs)
 TObject assignment operator. More...
 
virtual ~TObject ()
 TObject destructor. More...
 
virtual void AppendPad (Option_t *option="")
 Append graphics object to current pad. More...
 
virtual void Browse (TBrowser *b)
 Browse object. May be overridden for another default action. More...
 
virtual const char * ClassName () const
 Returns name of class to which the object belongs. More...
 
virtual void Delete (Option_t *option="")
 Delete this object. More...
 
virtual Int_t DistancetoPrimitive (Int_t px, Int_t py)
 Computes distance from point (px,py) to the object. More...
 
virtual void Draw (Option_t *option="")
 Default Draw method for all objects. More...
 
virtual void DrawClass () const
 Draw class inheritance tree of the class to which this object belongs. More...
 
virtual TObjectDrawClone (Option_t *option="") const
 Draw a clone of this object in the current pad. More...
 
virtual void Dump () const
 Dump contents of object on stdout. More...
 
virtual void Execute (const char *method, const char *params, Int_t *error=0)
 Execute method on this object with the given parameter string, e.g. More...
 
virtual void Execute (TMethod *method, TObjArray *params, Int_t *error=0)
 Execute method on this object with parameters stored in the TObjArray. More...
 
virtual void ExecuteEvent (Int_t event, Int_t px, Int_t py)
 Execute action corresponding to an event at (px,py). More...
 
virtual TObjectFindObject (const char *name) const
 Must be redefined in derived classes. More...
 
virtual TObjectFindObject (const TObject *obj) const
 Must be redefined in derived classes. More...
 
virtual Option_tGetDrawOption () const
 Get option used by the graphics system to draw this object. More...
 
virtual UInt_t GetUniqueID () const
 Return the unique object id. More...
 
virtual const char * GetIconName () const
 Returns mime type name of object. More...
 
virtual Option_tGetOption () const
 
virtual char * GetObjectInfo (Int_t px, Int_t py) const
 Returns string containing info about the object at position (px,py). More...
 
virtual Bool_t HandleTimer (TTimer *timer)
 Execute action in response of a timer timing out. More...
 
virtual Bool_t InheritsFrom (const char *classname) const
 Returns kTRUE if object inherits from class "classname". More...
 
virtual Bool_t InheritsFrom (const TClass *cl) const
 Returns kTRUE if object inherits from TClass cl. More...
 
virtual void Inspect () const
 Dump contents of this object in a graphics canvas. More...
 
virtual Bool_t IsFolder () const
 Returns kTRUE in case object contains browsable objects (like containers or lists of other objects). More...
 
virtual Bool_t IsEqual (const TObject *obj) const
 Default equal comparison (objects are equal if they have the same address in memory). More...
 
Bool_t IsOnHeap () const
 
Bool_t IsZombie () const
 
virtual Bool_t Notify ()
 This method must be overridden to handle object notification. More...
 
virtual void Paint (Option_t *option="")
 This method must be overridden if a class wants to paint itself. More...
 
virtual void Pop ()
 Pop on object drawn in a pad to the top of the display list. More...
 
virtual Int_t Read (const char *name)
 Read contents of object with specified name from the current directory. More...
 
virtual void RecursiveRemove (TObject *obj)
 Recursively remove this object from a list. More...
 
virtual void SaveAs (const char *filename="", Option_t *option="") const
 Save this object in the file specified by filename. More...
 
virtual void SavePrimitive (std::ostream &out, Option_t *option="")
 Save a primitive as a C++ statement(s) on output stream "out". More...
 
virtual void SetDrawOption (Option_t *option="")
 Set drawing option for object. More...
 
virtual void SetUniqueID (UInt_t uid)
 Set the unique object id. More...
 
virtual void UseCurrentStyle ()
 Set current style settings in this object This function is called when either TCanvas::UseCurrentStyle or TROOT::ForceStyle have been invoked. More...
 
virtual Int_t Write (const char *name=0, Int_t option=0, Int_t bufsize=0)
 Write this object to the current directory. More...
 
virtual Int_t Write (const char *name=0, Int_t option=0, Int_t bufsize=0) const
 Write this object to the current directory. More...
 
voidoperator new (size_t sz)
 
voidoperator new[] (size_t sz)
 
voidoperator new (size_t sz, void *vp)
 
voidoperator new[] (size_t sz, void *vp)
 
void operator delete (void *ptr)
 Operator delete. More...
 
void operator delete[] (void *ptr)
 Operator delete []. More...
 
void SetBit (UInt_t f, Bool_t set)
 Set or unset the user status bits as specified in f. More...
 
void SetBit (UInt_t f)
 
void ResetBit (UInt_t f)
 
Bool_t TestBit (UInt_t f) const
 
Int_t TestBits (UInt_t f) const
 
void InvertBit (UInt_t f)
 
virtual void Info (const char *method, const char *msgfmt,...) const
 Issue info message. More...
 
virtual void Warning (const char *method, const char *msgfmt,...) const
 Issue warning message. More...
 
virtual void Error (const char *method, const char *msgfmt,...) const
 Issue error message. More...
 
virtual void SysError (const char *method, const char *msgfmt,...) const
 Issue system error message. More...
 
virtual void Fatal (const char *method, const char *msgfmt,...) const
 Issue fatal error message. More...
 
void AbstractMethod (const char *method) const
 Use this method to implement an "abstract" method that you don't want to leave purely abstract. More...
 
void MayNotUse (const char *method) const
 Use this method to signal that a method (defined in a base class) may not be called in a derived class (in principle against good design since a child class should not provide less functionality than its parent, however, sometimes it is necessary). More...
 
void Obsolete (const char *method, const char *asOfVers, const char *removedFromVers) const
 Use this method to declare a method obsolete. More...
 

Protected Member Functions

void ClearAll () const
 
void ApproximatePosterior () const
 
void ComputeIntervalFromApproxPosterior (double c1, double c2) const
 
void ComputeIntervalFromCdf (double c1, double c2) const
 
void ComputeIntervalUsingRooFit (double c1, double c2) const
 
void ComputeShortestInterval () const
 
- Protected Member Functions inherited from TObject
void MakeZombie ()
 
virtual void DoError (int level, const char *location, const char *fmt, va_list va) const
 Interface to ErrorHandler (protected). More...
 

Private Attributes

RooAbsDatafData
 
RooAbsPdffPdf
 
RooArgSet fPOI
 
RooAbsPdffPriorPdf
 
RooAbsPdffNuisancePdf
 
RooArgSet fNuisanceParameters
 
RooArgSet fConditionalObs
 
RooAbsPdffProductPdf
 
RooAbsRealfLogLike
 
RooAbsRealfLikelihood
 
RooAbsRealfIntegratedLikelihood
 
RooAbsPdffPosteriorPdf
 
ROOT::Math::IGenFunctionfPosteriorFunction
 
TF1fApproxPosterior
 
Double_t fLower
 
Double_t fUpper
 
Double_t fNLLMin
 
double fSize
 
double fLeftSideFraction
 
double fBrfPrecision
 
int fNScanBins
 
int fNumIterations
 
Bool_t fValidInterval
 
TString fIntegrationType
 

Additional Inherited Members

- Public Types inherited from TObject
enum  EStatusBits {
  kCanDelete = BIT(0), kMustCleanup = BIT(3), kObjInCanvas = BIT(3), kIsReferenced = BIT(4),
  kHasUUID = BIT(5), kCannotPick = BIT(6), kNoContextMenu = BIT(8), kInvalidObject = BIT(13)
}
 
enum  { kIsOnHeap = 0x01000000, kNotDeleted = 0x02000000, kZombie = 0x04000000, kBitMask = 0x00ffffff }
 
enum  { kSingleKey = BIT(0), kOverwrite = BIT(1), kWriteDelete = BIT(2) }
 
- Static Public Member Functions inherited from TObject
static Long_t GetDtorOnly ()
 Return destructor only flag. More...
 
static void SetDtorOnly (void *obj)
 Set destructor only flag. More...
 
static Bool_t GetObjectStat ()
 Get status of object stat flag. More...
 
static void SetObjectStat (Bool_t stat)
 Turn on/off tracking of objects in the TObjectTable. More...
 
- Protected Attributes inherited from TNamed
TString fName
 
TString fTitle
 

#include <RooStats/BayesianCalculator.h>

+ Inheritance diagram for RooStats::BayesianCalculator:
+ Collaboration diagram for RooStats::BayesianCalculator:

Constructor & Destructor Documentation

RooStats::BayesianCalculator::BayesianCalculator ( )

constructor

Definition at line 606 of file BayesianCalculator.cxx.

RooStats::BayesianCalculator::BayesianCalculator ( RooAbsData data,
RooAbsPdf pdf,
const RooArgSet POI,
RooAbsPdf priorPdf,
const RooArgSet nuisanceParameters = 0 
)

Definition at line 624 of file BayesianCalculator.cxx.

RooStats::BayesianCalculator::BayesianCalculator ( RooAbsData data,
ModelConfig model 
)

Definition at line 654 of file BayesianCalculator.cxx.

RooStats::BayesianCalculator::~BayesianCalculator ( )
virtual

destructor

Definition at line 676 of file BayesianCalculator.cxx.

Member Function Documentation

void RooStats::BayesianCalculator::ApproximatePosterior ( ) const
protected
void RooStats::BayesianCalculator::ClearAll ( void  ) const
protected

Definition at line 682 of file BayesianCalculator.cxx.

Referenced by SetData(), SetModel(), and ~BayesianCalculator().

void RooStats::BayesianCalculator::ComputeIntervalFromApproxPosterior ( double  c1,
double  c2 
) const
protected

Definition at line 1301 of file BayesianCalculator.cxx.

Referenced by GetInterval().

void RooStats::BayesianCalculator::ComputeIntervalFromCdf ( double  c1,
double  c2 
) const
protected

Definition at line 1184 of file BayesianCalculator.cxx.

Referenced by GetInterval().

void RooStats::BayesianCalculator::ComputeIntervalUsingRooFit ( double  c1,
double  c2 
) const
protected

Definition at line 1134 of file BayesianCalculator.cxx.

Referenced by GetInterval().

void RooStats::BayesianCalculator::ComputeShortestInterval ( ) const
protected

Definition at line 1319 of file BayesianCalculator.cxx.

Referenced by GetInterval().

virtual Double_t RooStats::BayesianCalculator::ConfidenceLevel ( ) const
inlinevirtual

Get the Confidence level for the test.

Implements RooStats::IntervalCalculator.

Definition at line 148 of file BayesianCalculator.h.

Referenced by GetInterval().

void RooStats::BayesianCalculator::ForceNuisancePdf ( RooAbsPdf pdf)
inline

force the nuisance pdf when using the toy mc sampling

Definition at line 182 of file BayesianCalculator.h.

SimpleInterval * RooStats::BayesianCalculator::GetInterval ( ) const
virtual

compute the interval.

By Default a central interval is computed By using SetLeftTileFraction can control if central/ upper/lower interval For shortest interval use SetShortestInterval(true)

Implements RooStats::IntervalCalculator.

Definition at line 1030 of file BayesianCalculator.cxx.

Referenced by GetPosteriorPlot().

double RooStats::BayesianCalculator::GetMode ( ) const

return the mode (most probable value of the posterior function)

Definition at line 1121 of file BayesianCalculator.cxx.

RooAbsReal * RooStats::BayesianCalculator::GetPosteriorFunction ( ) const

return posterior function (object is managed by the BayesianCalculator class)

Definition at line 726 of file BayesianCalculator.cxx.

Referenced by ApproximatePosterior(), ComputeIntervalFromCdf(), GetInterval(), GetPosteriorPdf(), and GetPosteriorPlot().

RooAbsPdf * RooStats::BayesianCalculator::GetPosteriorPdf ( ) const

return posterior pdf (object is managed by the BayesianCalculator class)

Definition at line 929 of file BayesianCalculator.cxx.

Referenced by ComputeIntervalUsingRooFit(), and GetPosteriorPlot().

RooPlot * RooStats::BayesianCalculator::GetPosteriorPlot ( bool  norm = false,
double  precision = 0.01 
) const

get the plot with option to get it normalized

Definition at line 948 of file BayesianCalculator.cxx.

void RooStats::BayesianCalculator::SetBrfPrecision ( double  precision)
inline

set the precision of the Root Finder

Definition at line 161 of file BayesianCalculator.h.

virtual void RooStats::BayesianCalculator::SetConditionalObservables ( const RooArgSet set)
inlinevirtual

set the conditional observables which will be used when creating the NLL so the pdf's will not be normalized on the conditional observables when computing the NLL

Definition at line 136 of file BayesianCalculator.h.

virtual void RooStats::BayesianCalculator::SetConfidenceLevel ( Double_t  cl)
inlinevirtual

set the confidence level for the interval (eg. 0.95 for a 95% Confidence Interval)

Implements RooStats::IntervalCalculator.

Definition at line 144 of file BayesianCalculator.h.

virtual void RooStats::BayesianCalculator::SetData ( RooAbsData )
inlinevirtual

Set the DataSet ( add to the the workspace if not already there ?)

Implements RooStats::IntervalCalculator.

Definition at line 116 of file BayesianCalculator.h.

void RooStats::BayesianCalculator::SetIntegrationType ( const char *  type)

set the integration type (possible type are) :

Definition at line 992 of file BayesianCalculator.cxx.

void RooStats::BayesianCalculator::SetLeftSideTailFraction ( Double_t  leftSideFraction)
inline

set the fraction of probability content on the left tail Central limits use 0.5 (default case) for upper limits it is 0 and 1 for lower limit For shortest intervals a negative value (i.e.

-1) must be given

Definition at line 154 of file BayesianCalculator.h.

void RooStats::BayesianCalculator::SetModel ( const ModelConfig model)
virtual

set the model via the ModelConfig

Implements RooStats::IntervalCalculator.

Definition at line 703 of file BayesianCalculator.cxx.

Referenced by BayesianCalculator().

virtual void RooStats::BayesianCalculator::SetNuisanceParameters ( const RooArgSet set)
inlinevirtual

specify the nuisance parameters (eg. the rest of the parameters)

Definition at line 129 of file BayesianCalculator.h.

virtual void RooStats::BayesianCalculator::SetNumIters ( Int_t  numIters)
inlinevirtual

set the number of iterations when running a MC integration algorithm If not set use default algorithmic values In case of ToyMC sampling of the nuisance the value is 100 In case of using the GSL MCintegrations types the default value is defined in ROOT::Math::IntegratorMultiDimOptions::DefaultNCalls()

Definition at line 173 of file BayesianCalculator.h.

virtual void RooStats::BayesianCalculator::SetParameters ( const RooArgSet set)
inlinevirtual

specify the parameters of interest in the interval

Definition at line 126 of file BayesianCalculator.h.

virtual void RooStats::BayesianCalculator::SetPriorPdf ( RooAbsPdf pdf)
inlinevirtual

Set only the Prior Pdf.

Definition at line 132 of file BayesianCalculator.h.

void RooStats::BayesianCalculator::SetScanOfPosterior ( int  nbin = 100)
inline

use directly the approximate posterior function obtained by binning it in nbins by default the cdf is used by integrating the posterior if a value of nbin <= 0 the cdf function will be used

Definition at line 166 of file BayesianCalculator.h.

void RooStats::BayesianCalculator::SetShortestInterval ( )
inline

set the Bayesian calculator to compute the shorest interval (default is central interval) to switch off SetLeftSideTailFraction to the rght value

Definition at line 158 of file BayesianCalculator.h.

virtual void RooStats::BayesianCalculator::SetTestSize ( Double_t  size)
inlinevirtual

set the size of the test (rate of Type I error) ( Eg. 0.05 for a 95% Confidence Interval)

Implements RooStats::IntervalCalculator.

Definition at line 139 of file BayesianCalculator.h.

Referenced by SetConfidenceLevel().

virtual Double_t RooStats::BayesianCalculator::Size ( ) const
inlinevirtual

Get the size of the test (eg. rate of Type I error)

Implements RooStats::IntervalCalculator.

Definition at line 146 of file BayesianCalculator.h.

Member Data Documentation

TF1* RooStats::BayesianCalculator::fApproxPosterior
mutableprivate
double RooStats::BayesianCalculator::fBrfPrecision
private
RooArgSet RooStats::BayesianCalculator::fConditionalObs
private

Definition at line 210 of file BayesianCalculator.h.

Referenced by GetPosteriorFunction(), SetConditionalObservables(), and SetModel().

RooAbsData* RooStats::BayesianCalculator::fData
private

Definition at line 204 of file BayesianCalculator.h.

Referenced by GetPosteriorFunction(), and SetData().

RooAbsReal* RooStats::BayesianCalculator::fIntegratedLikelihood
mutableprivate
TString RooStats::BayesianCalculator::fIntegrationType
private
double RooStats::BayesianCalculator::fLeftSideFraction
private

Definition at line 223 of file BayesianCalculator.h.

Referenced by GetInterval(), SetLeftSideTailFraction(), and SetShortestInterval().

RooAbsReal* RooStats::BayesianCalculator::fLikelihood
mutableprivate

Definition at line 214 of file BayesianCalculator.h.

Referenced by ApproximatePosterior(), ClearAll(), and GetPosteriorFunction().

RooAbsReal* RooStats::BayesianCalculator::fLogLike
mutableprivate

Definition at line 213 of file BayesianCalculator.h.

Referenced by ClearAll(), ComputeIntervalFromCdf(), and GetPosteriorFunction().

Double_t RooStats::BayesianCalculator::fLower
mutableprivate
Double_t RooStats::BayesianCalculator::fNLLMin
mutableprivate

Definition at line 221 of file BayesianCalculator.h.

Referenced by ClearAll(), ComputeIntervalFromCdf(), and GetPosteriorFunction().

int RooStats::BayesianCalculator::fNScanBins
mutableprivate
RooArgSet RooStats::BayesianCalculator::fNuisanceParameters
private
RooAbsPdf* RooStats::BayesianCalculator::fNuisancePdf
private

Definition at line 208 of file BayesianCalculator.h.

Referenced by ForceNuisancePdf(), and GetPosteriorFunction().

int RooStats::BayesianCalculator::fNumIterations
private

Definition at line 226 of file BayesianCalculator.h.

Referenced by SetNumIters().

RooAbsPdf* RooStats::BayesianCalculator::fPdf
private

Definition at line 205 of file BayesianCalculator.h.

Referenced by GetPosteriorFunction(), and SetModel().

RooArgSet RooStats::BayesianCalculator::fPOI
private
ROOT::Math::IGenFunction* RooStats::BayesianCalculator::fPosteriorFunction
mutableprivate

Definition at line 217 of file BayesianCalculator.h.

Referenced by ClearAll(), and GetPosteriorFunction().

RooAbsPdf* RooStats::BayesianCalculator::fPosteriorPdf
mutableprivate

Definition at line 216 of file BayesianCalculator.h.

Referenced by ClearAll(), ComputeIntervalUsingRooFit(), and GetPosteriorPlot().

RooAbsPdf* RooStats::BayesianCalculator::fPriorPdf
private
RooAbsPdf* RooStats::BayesianCalculator::fProductPdf
mutableprivate

Definition at line 212 of file BayesianCalculator.h.

Referenced by ClearAll(), and GetPosteriorFunction().

double RooStats::BayesianCalculator::fSize
private
Double_t RooStats::BayesianCalculator::fUpper
mutableprivate
Bool_t RooStats::BayesianCalculator::fValidInterval
mutableprivate

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