Bandwidth Selection for Semiparametric Estimators Using the m-out-of-n Bootstrap [PDF]
This paper considers a class of semiparametric estimators that take the form of density-weighted averages. These arise naturally in a consideration of semiparametric methods for the estimation of index and sample-selection models involving preliminary ...
Chuan Goh
core
Support vector data description with kernel density estimation (SVDD-KDE) control chart for network intrusion monitoring. [PDF]
Sci Rep, 2023 Ahsan M, Khusna H, Wibawati, Lee MH.
europepmc +1 more source
Kernel estimation of density level sets
Journal of Multivariate Analysis, 2006 Let $f$ be a multivariate density and $f\_n$ be a kernel estimate of $f$ drawn from the $n$-sample $X\_1,...,X\_n$ of i.i.d. random variables with density $f$. We compute the asymptotic rate of convergence towards 0 of the volume of the symmetric difference between the $t$-level set $\{f\geq t\}$ and its plug-in estimator $\{f\_n\geq t\}$.
openaire +4 more sources
Weighted 2D-kernel density estimations provide a new probabilistic measure for epigenetic age
Genome BiologyEpigenetic aging signatures provide insights into human aging, but traditional clocks rely on linear regression of DNA methylation levels, assuming linear trajectories.
Juan-Felipe Perez-Correa +6 more
doaj +1 more source
Incipient Fault Detection in a Hydraulic System Using Canonical Variable Analysis Combined with Adaptive Kernel Density Estimation. [PDF]
Sensors (Basel), 2023 Wang J +5 more
europepmc +1 more source
Forest Fire Risk Mapping by Kernel Density Estimation
Croatian Journal of Forest Engineering, 2011 When evaluating wildland fires, well prepared forest fire risk maps are regarded as one of the most valuable tools for forest managers, and during the production stage of these maps, association between historical fire data and other factors, such as ...
Semih Kuter +2 more
doaj
AxiomsThe article investigates the accuracy of nonparametric univariate density estimation methods applied to various Gaussian mixture models. A comprehensive comparative analysis is performed for four popular estimation approaches: adaptive kernel density ...
Tomas Ruzgas +3 more
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A close contact identification algorithm using kernel density estimation for the ship passenger health. [PDF]
J King Saud Univ Comput Inf Sci, 2023 Lin Q, Son J.
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How the Distribution of After-Tax Income Changed over the 1990s Business Cycle: A Comparison of the United States, Great Britain, Germany and Japan [PDF]
Using kernel density estimation we find that over their 1990s business cycles the entire distribution of after-tax (disposable) income moved to the right in the United States and Great Britain while inequality declined.
Ludmila Rovba +2 more
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Automatic Clustering and Classification of Coffee Leaf Diseases Based on an Extended Kernel Density Estimation Approach. [PDF]
Plants (Basel), 2023 Hasan RI +3 more
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