Contingent kernel density estimation. by Scott Fortmann-Roe, Richard Starfield, Wayne M Getz

“…Kernel density estimation is a widely used method for estimating a distribution based on a sample of points drawn from that distribution. …”
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Kernel density estimation and its application by Węglarczyk Stanisław

“…Kernel density estimation is a technique for estimation of probability density function that is a must-have enabling the user to better analyse the studied probability distribution than when using a traditional histogram. …”
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The Archaeological Application of Kernel Density Estimates by Christian Beardah, Michael Baxter

“…The main aim of this paper is to illustrate by example some of the advantages of kernel density estimates (KDEs) for data presentation in archaeology. …”
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Manifold learning based on kernel density estimation by A.P. Kuleshov, A.V. Bernstein, Yu.A. Yanovich

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Kernel Density Estimators for Axisymmetric Particle Beams by Christopher M. Pierce, Young-Kee Kim

Subjects: “…kernel density estimator…”
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Representations for Integral Functionals of Kernel Density Estimators by David M. Mason

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Kernel Density Estimators for Gaussian Mixture Models by Tomas Ruzgas, Indrė Drulytė

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Kernel Density Estimation in the Study of Star Clusters by Seleznev Anton F.

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A Review of Kernel Density Estimation with Applications to Econometrics by Adriano Z. Zambom, Ronaldo Dias

“…This comprehensive review summarizes the most important theoretical aspects of kernel density estimation and provides an extensive description of classical and modern data analytic methods to compute the smoothing parameter. …”
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Multivariate kernel density estimation with a parametric support by Jolanta Jarnicka

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Forest Fire Risk Mapping by Kernel Density Estimation by Semih Kuter, Firdes Yenilmez, Nazan Kuter

“…In this study, kernel density estimate of forest fire events in the Middle East Technical University (METU) campus, in Ankara, Turkey, between 1993 and 2009, were obtained by using different bandwidth choices. …”
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Empirical Testing of Fast Kernel Density Estimation Algorithms by Lang, D, Klaas, M, de Freitas, N

Generalised empirical likelihood-based kernel density estimation by Oryshchenko, V

“…If additional information about the distribution of a random variable is available in the form of moment conditions, a weighted kernel density estimate reflecting the extra information can be constructed by replacing the uniform weights with the generalised empirical likelihood probabilities. …”

Multivariate goodness-of-fit tests based on kernel density estimators by Aleksej Bakshaev, Rimantas Rudzkis

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Using Kernel density estimation for modelling and simulating transaction location by Katarzyna Kobylińska, Radosław Cellmer, Sabina Źróbek, Natalija Lepkova

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An Analysis of the Operation of Distribution Networks Using Kernel Density Estimators by Mirosław Kornatka, Anna Gawlak

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Exact Boundary Correction Methods for Multivariate Kernel Density Estimation by Ji-Yeon Yang

Subjects: “…kernel density estimation…”
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Plug-in Bandwidth Selection for Kernel Density Estimation with Discrete Data by Chi-Yang Chu, Daniel J. Henderson, Christopher F. Parmeter

“…This paper proposes plug-in bandwidth selection for kernel density estimation with discrete data via minimization of mean summed square error. …”
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Kernel Density Estimation on the Siegel Space with an Application to Radar Processing by Emmanuel Chevallier, Thibault Forget, Frédéric Barbaresco, Jesus Angulo

Subjects: “…kernel density estimation…”
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Covariate balancing based on kernel density estimates for controlled experiments by Yiou Li, Lulu Kang, Xiao Huang

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