12#ifndef ROOSTATS_MCMCCalculator
13#define ROOSTATS_MCMCCalculator
137 <<
"negative epsilon value" << std::endl;
160 <<
"negative delta value" << std::endl;
#define ClassDef(name, id)
RooAbsArg is the common abstract base class for objects that represent a value (of arbitrary type) an...
RooAbsCollection is an abstract container object that can hold multiple RooAbsArg objects.
virtual void removeAll()
Remove all arguments from our set, deleting them if we own them.
TIterator * createIterator(Bool_t dir=kIterForward) const
TIterator-style iteration over contained elements.
RooAbsData is the common abstract base class for binned and unbinned datasets.
RooArgList is a container object that can hold multiple RooAbsArg objects.
RooArgSet is a container object that can hold multiple RooAbsArg objects.
virtual Bool_t add(const RooAbsCollection &col, Bool_t silent=kFALSE)
Add a collection of arguments to this collection by calling add() for each element in the source coll...
RooRealVar represents a variable that can be changed from the outside.
IntervalCalculator is an interface class for a tools which produce RooStats ConfIntervals.
Bayesian Calculator estimating an interval or a credible region using the Markov-Chain Monte Carlo me...
virtual void SetPriorPdf(RooAbsPdf &pdf)
Set the Prior Pdf if not already there.
virtual void SetNumBurnInSteps(Int_t numBurnInSteps)
set the number of steps in the chain to discard as burn-in, starting from the first
enum MCMCInterval::IntervalType fIntervalType
virtual void SetNumBins(Int_t numBins)
set the number of bins to create for each axis when constructing the interval
virtual MCMCInterval * GetInterval() const
Main interface to get a ConfInterval.
void SetBins(const RooAbsCollection &coll, Int_t numBins) const
void SetupBasicUsage()
Constructor for automatic configuration with basic settings.
MCMCCalculator()
default constructor
virtual void SetUseKeys(Bool_t useKeys)
set whether to use kernel estimation to determine the interval
virtual void SetLeftSideTailFraction(Double_t a)
Set the left side tail fraction.
virtual void SetKeysConfidenceAccuracy(Double_t epsilon)
Set the desired level of confidence-level accuracy for Keys interval determination.
virtual void SetNumIters(Int_t numIters)
set the number of iterations to run the metropolis algorithm
virtual void SetNuisanceParameters(const RooArgSet &set)
specify the nuisance parameters (eg. the rest of the parameters)
virtual ~MCMCCalculator()
virtual void SetParameters(const RooArgSet &set)
specify the parameters of interest in the interval
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)
virtual void SetKeysTerminationThreshold(Double_t delta)
When the shortest interval using Keys PDF could not be found to have the desired confidence level +/-...
virtual Double_t Size() const
Get the size of the test (eg. rate of Type I error)
virtual void SetData(RooAbsData &data)
Set the DataSet if not already there.
RooArgSet fConditionalObs
virtual void SetConfidenceLevel(Double_t cl)
set the confidence level for the interval (eg. 0.95 for a 95% Confidence Interval)
virtual void SetModel(const ModelConfig &model)
Set the Model.
virtual void SetAxes(RooArgList &axes)
set which variables to put on each axis
virtual void SetPdf(RooAbsPdf &pdf)
Set the Pdf if not already there.
virtual Double_t ConfidenceLevel() const
Get the Confidence level for the test.
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 nor...
virtual void SetProposalFunction(ProposalFunction &proposalFunction)
set the proposal function for suggesting new points for the MCMC
virtual void SetUseSparseHist(Bool_t useSparseHist)
set whether to use sparse histogram (if using histogram at all)
virtual void SetGlobalObservables(const RooArgSet &set)
set the global observables which will be used when creating the NLL so the constraint pdf's will be n...
virtual void SetIntervalType(enum MCMCInterval::IntervalType intervalType)
set what type of interval to have the MCMCInterval represent
ProposalFunction * fPropFunc
virtual void SetChainParameters(const RooArgSet &set)
specify the parameters to store in the Markov chain By default all the parameters are stored
MCMCInterval is a concrete implementation of the RooStats::ConfInterval interface.
ModelConfig is a simple class that holds configuration information specifying how a model should be u...
ProposalFunction is an interface for all proposal functions that would be used with a Markov Chain Mo...
Iterator abstract base class.
virtual TObject * Next()=0
The TNamed class is the base class for all named ROOT classes.
Namespace for the RooStats classes.