cdKernelSensitivityMatrix.hh File Reference

Calculate kernel sensitivity matrix for KDE-like density estimation using the definition based on comparison density. More...

#include "npstat/nm/Matrix.hh"
#include "npstat/nm/AbsIntervalQuadrature1D.hh"
#include "npstat/nm/ContOrthoPoly1D.hh"
#include "npstat/nm/cdKernelSensitivityMatrix.icc"

Go to the source code of this file.

Namespaces
	npstat

Functions
template<class Fcn2D , class InPoly >
Matrix< double >	npstat::cdKernelSensitivityMatrix (const Fcn2D &kernel, const InPoly &inputPoly, unsigned maxdegInputPoly, unsigned maxdegOutPoly, long double ymin, long double ymax, const AbsIntervalQuadrature1D &xIntegrator, const AbsIntervalQuadrature1D &yIntegrator, unsigned chebyshevDegree, bool normalizeKernel=true)
template<class Fcn2D >
Matrix< double >	npstat::cdKernelSensitivityMatrix (const Fcn2D &kernel, const ContOrthoPoly1D &inputPoly, unsigned maxdegInputPoly, unsigned maxdegOutPoly, long double ymin, long double ymax, const AbsIntervalQuadrature1D &yIntegrator, unsigned chebyshevDegree, bool normalizeKernel=true)

Detailed Description

Calculate kernel sensitivity matrix for KDE-like density estimation using the definition based on comparison density.

Author: I. Volobouev

December 2022