Record number :
Title of article :
The Accuracy and the Computational Complexity of a Multivariate Binned Kernel Density Estimator
Author/Authors :
إke and Holmstrِm، نويسنده , , Lasse، نويسنده ,
Issue Information :
دوفصلنامه با شماره پیاپی سال 2000
Pages :
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Abstract :
The computational cost of multivariate kernel density estimation can be reduced by prebinning the data. The data are discretized to a grid and a weighted kernel estimator is computed. We report results on the accuracy of such a binned kernel estimator and discuss the computational complexity of the estimator as measured by its average number of nonzero terms.
Keywords :
Estimation error , computational complexity , Kernel density estimation , Binning
Journal title :
Journal of Multivariate Analysis
Journal title :
Journal of Multivariate Analysis
Serial Year :
Link To Document :