npsi::MinuitLOrPEBgCVFcn1D< Numeric, NumIn > Class Template Reference
Inheritance diagram for npsi::MinuitLOrPEBgCVFcn1D< Numeric, NumIn >:
Constructor & Destructor Documentation◆ MinuitLOrPEBgCVFcn1D()
template<class Numeric , class NumIn = double>
Most arguments of this constructor are the same as the arguments of the npstat::lorpeBackground1D function. See the description of that function for more detail. The two arguments not of this kind are: up – This parameter regulates Minuit convergence. See Minuit manual for details. minlog – Infrequently, LOrPE creates a density estimate which is exactly 0 for some histogram bin which is not empty; the value of this parameter limits the contribution of such bins into the overall likelihood. An internal copy of "initialApproximation" will be made if such an approximation is provided (initialApproximation can also be specified as NULL to use the uniform background density as a starting point for iterations). This class will not assume ownership of any references or pointers Member Function Documentation◆ operator()()
template<class Numeric , class NumIn = double>
This method returns either the negative log likelihood or the cross validation approximation of MISE. It is assumed that bandwidth is the first parameter while degree of the LOrPE polynomial is the second. The documentation for this class was generated from the following file:
Generated by 1.9.1 |