Radius selection using kernel density estimation for the computation of nonlinear measures

Research article (Chaos An Interdisciplinary Journal of Nonlinear Science, 2021) · cited 15× · AI/ML
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Radius selection using kernel density estimation for the computation of nonlinear measures

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Radius selection using kernel density estimation for the computation of nonlinear measures is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Radius selection using kernel density estimation for the computation of nonlinear measures. Retrieved May 24, 2026, from https://4ort.xyz/entity/radius-selection-using-kernel-density-estimation-for-the-computation-of-nonlinear-measures
MLA “Radius selection using kernel density estimation for the computation of nonlinear measures.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/radius-selection-using-kernel-density-estimation-for-the-computation-of-nonlinear-measures.
BibTeX @misc{4ortxyz_radius-selection-using-kernel-density-estimation-for-the-computation-of-nonlinear-measures_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Radius selection using kernel density estimation for the computation of nonlinear measures}}, year = {2026}, url = {https://4ort.xyz/entity/radius-selection-using-kernel-density-estimation-for-the-computation-of-nonlinear-measures}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Radius selection using kernel density estimation for the computation of nonlinear measures — https://4ort.xyz/entity/radius-selection-using-kernel-density-estimation-for-the-computation-of-nonlinear-measures (retrieved 2026-05-24)

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