A spatial obesity risk score for describing the obesogenic environment using kernel density estimation: development and parameter variation. [PDF]
BMC Med Res Methodol, 2023 Präger M +4 more
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Nonparametric Estimation of Risk-Neutral Densities [PDF]
This chapter deals with nonparametric estimation of the risk neutral density. We present three different approaches which do not require parametric functional assumptions on the underlying asset price dynamics nor on the distributional form of the risk ...
Maria Grith +2 more
core
Enhancing Broiler Weight Prediction via Preprocessed Kernel Density Estimation
AgricultureAccurate broiler weight estimation in commercial farms is hindered by noisy scale data and multi-broiler occupancy. To address this challenge, we propose a KDE-based framework enhanced with systematic preprocessing, including coefficient of variation (CV)
Sangmin Yoo, Yumi Oh, Juwhan Song
doaj +1 more source
Identification of the associations between genes and quantitative traits using entropy-based kernel density estimation. [PDF]
Genomics Inform, 2022 Yee J, Park T, Park M.
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Spatiotemporal Analysis of Gastrointestinal Tumor (GI) with Kernel Density Estimation (KDE) Based on Heterogeneous Background. [PDF]
Int J Environ Res Public Health, 2022 Yang Z, He S, Zhang H, Li M, Liang Y.
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ks: Kernel Density Estimation and Kernel Discriminant Analysis for Multivariate Data in R
Journal of Statistical Software, 2007 Kernel smoothing is one of the most widely used non-parametric data smoothing techniques. We introduce a new R package ks for multivariate kernel smoothing.
Tarn Duong
doaj
VIASCKDE Index: A Novel Internal Cluster Validity Index for Arbitrary-Shaped Clusters Based on the Kernel Density Estimation. [PDF]
Comput Intell Neurosci, 2022 Şenol A.
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Optimal futures hedging strategies based on an improved kernel density estimation method. [PDF]
Soft comput, 2021 Yu X, Wang X, Zhang W, Li Z.
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Kernel Density Estimation of Electromyographic Signals and Ensemble Learning for Highly Accurate Classification of a Large Set of Hand/Wrist Motions. [PDF]
Front Neurosci, 2022 Ghaderi P +5 more
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Fourier Ring Correlation and Anisotropic Kernel Density Estimation Improve Deep Learning Based SMLM Reconstruction of Microtubules. [PDF]
Front Bioinform, 2021 Berberich A +6 more
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