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Isolation Kernel Estimators

Knowledge and Information Systems, 2022
Kai Ming Ting   +4 more
openaire   +1 more source

Reweighted kernel density estimation

Computational Statistics & Data Analysis, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Martin L. Hazelton, Berwin A. Turlach
openaire   +2 more sources

VARIABLE KERNEL DENSITY ESTIMATES AND VARIABLE KERNEL DENSITY ESTIMATES

Australian Journal of Statistics, 1990
SummaryThe term “variable kernel density estimate” is sometimes used to mean a kernel density estimate employing a different bandwidth for each data point, and sometimes to denote a kernel density estimate with bandwidth a function of estimation location.
openaire   +1 more source

On nonparametric kernel density estimates

Biometrika, 1990
SUMMARY The paper introduces the idea of inadmissible kernels and shows that an Epanechnikov type kernel is the only admissible kernel. An analysis of kernel density estimates leads to two new methods of bias reduction. We also discuss a general method of improving kernel density estimates in the sense of having smaller mean squared error.
M. Samiuddin, G. M. El-Sayyad
openaire   +1 more source

Online Discriminative Kernel Density Estimator With Gaussian Kernels

IEEE Transactions on Cybernetics, 2014
We propose a new method for a supervised online estimation of probabilistic discriminative models for classification tasks. The method estimates the class distributions from a stream of data in the form of Gaussian mixture models (GMMs). The reconstructive updates of the distributions are based on the recently proposed online kernel density estimator ...
Matej Kristan, Ales Leonardis
openaire   +2 more sources

Generalized Kernel Density Estimator

Theory of Probability & Its Applications, 2000
Summary: We introduce a new class of nonparametric density estimators. It includes the classical kernel density estimators as well as the popular Abramson's estimator. We show that the generalized estimators may perform much better than the classical one if the distribution has a heavy tail.
openaire   +1 more source

Isolation Kernel Density Estimation

2021 IEEE International Conference on Data Mining (ICDM), 2021
Kai Ming Ting   +3 more
openaire   +1 more source

Kernel Estimates

2021
Luca Lorenzi, Abdelaziz Rhandi
openaire   +1 more source

A KERNEL-TYPE ESTIMATOR OF A QUANTILE FUNCTION UNDER RANDOMLY TRUNCATED DATA

Acta Mathematica Scientia, 2006
Yong Zhou, Daoji Li
exaly  

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