Documentation API of the 'hep.aida.ref.pdf.NonParametricPdf' Java class
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.

Warning: You cannot see the full API documentation of this class since the access to the DatMelt documentation for third-party Java classes is denied. Guests can only view jhplot Java API. To view the complete description of this class and its methods, please request the full DataMelt membership.

If you are already a full member, please login to the DataMelt member area before visiting this documentation.