NonParametricPdf
hep.aida.ref.pdf

Class NonParametricPdf

  • All Implemented Interfaces:
    IFunction, IModelFunction, FunctionDispatcher, HasName, HasUnits, HasValue, VariableListener


    public class NonParametricPdfextends Function
    A Pdf builtg from a given data set. The Pdf is evaluated using the idea of adaptive kernel estimation presented at http://www-wisconsin.cern.ch/~cranmer/keys.html Mirroring is to be performed when distributions don't naturally taper to zero on one or both sides. With abrupt interruptions of the distribution there is a leak of probability due to the way the kernel is built (gaussian). By mirroring the distribution on the side of the abrupt edge the loss of probability is minimized.

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