npstat::AbsBandwidthGCV1D< Numeric, Num2 > Struct Template Reference

#include <AbsBandwidthGCV.hh>

Inheritance diagram for npstat::AbsBandwidthGCV1D< Numeric, Num2 >:

Public Types
typedef Numeric	bin_type
typedef Num2	density_type

Public Member Functions
virtual double	operator() (const HistoND< Numeric > &histo, const Num2 *densityEstimate, const Num2 *leaveOneOutEstimate, unsigned lenEstimate, const AbsPolyFilter1D &filterUsed) const =0
virtual double	operator() (const HistoND< Numeric > &histo, double effectiveSampleSize, const Num2 *densityEstimate, const Num2 *leaveOneOutEstimate, unsigned lenEstimate, const AbsPolyFilter1D &filterUsed) const =0

Detailed Description

template<typename Numeric, typename Num2>
struct npstat::AbsBandwidthGCV1D< Numeric, Num2 >

Cross-validation for univariate densities. "Numeric" template parameter is the type of histogram bins. "Num2" is the type produced by the density estimation code (usually just double).

Member Function Documentation

operator()() [1/2]

template<typename Numeric , typename Num2 >

virtual double npstat::AbsBandwidthGCV1D< Numeric, Num2 >::operator() ( const HistoND< Numeric > &  histo, const Num2 *  densityEstimate, const Num2 *  leaveOneOutEstimate, unsigned  lenEstimate, const AbsPolyFilter1D &  filterUsed  ) const

pure virtual

It should be assumed that the "nFillsInRange" method of the argument histogram returns the actual number of fills (that is, the histogram represents an actual collection of points, has possible bin values of 0, 1, 2, ..., and it is not scaled).

Implemented in npstat::BandwidthGCVPseudoLogli1D< Numeric, Num2 >, and npstat::BandwidthGCVLeastSquares1D< Numeric, Num2 >.

operator()() [2/2]

template<typename Numeric , typename Num2 >

virtual double npstat::AbsBandwidthGCV1D< Numeric, Num2 >::operator() ( const HistoND< Numeric > &  histo, double  effectiveSampleSize, const Num2 *  densityEstimate, const Num2 *  leaveOneOutEstimate, unsigned  lenEstimate, const AbsPolyFilter1D &  filterUsed  ) const

pure virtual

Cross-validation for samples of univariate weighted points

Implemented in npstat::BandwidthGCVPseudoLogli1D< Numeric, Num2 >, and npstat::BandwidthGCVLeastSquares1D< Numeric, Num2 >.

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The documentation for this struct was generated from the following file:

• stat/AbsBandwidthGCV.hh