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kernel density estimation procedure (MathWorks Inc)

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MathWorks Inc kernel density estimation procedure
Kernel Density Estimation Procedure, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/kernel+density+estimation+procedure/pm37967045-86-6-5
Average 90 stars, based on 1 article reviews

kernel density estimation procedure - by Bioz Stars, 2026-09

90/100 stars

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Modification:

Article Title: White matter connections within the central sulcus subserving the somato-cognitive action network
Article Snippet: .. The region of highest probability of evoking MEPs was computed using a modified in-house version of probability kernel density estimation (PDE analysis) implemented in MATLAB. ..

other:

Article Title: Comparison of conventional and radiomics-based analysis of myocardial infarction using multimodal non-linear optical microscopy
Article Snippet: In order to select the most quantitative radiomic features for further analysis, we performed a kernel density estimation (KDE) in Matlab using the functions described in .

Article Title: Quality Issues in Kinematic Traces from Three Head Impact Sensors in Boxing: Prevalence, Effects, and Implications for Exposure Assessment.
Article Snippet: Purpose When used in-vivo or in biofidelic environments, many head impact sensors have shown limitations related to the quality and validity of the kinematics measured.. The objectives were to assess the quality of kinematic traces from three head impact sensors, determine the effects of signal quality on peak accelerations, and compare measurements across sensors.. Methods Head impacts were collected with instrumented mouthguards, skin patches, and headgear patches during boxing sparring.

Article Title: The Role of Striatum in Controlling Waiting during Reactive and Self-Timed Behaviors
Article Snippet: The probability density function of hold duration was estimated using kernel density estimation (ksdensity in MATLAB) with a bandwidth of 0.075 and a bin width of 0.05 s. Event timing was recorded with a temporal resolution of 10 ms. For postlesion analyses, sessions with fewer than 50 responses were combined with subsequent sessions to ensure sufficient sample size for statistical analysis (e.g., A , B , 6 A – D , 7, 8 B – E , 9 B – F ).

Generated:

Article Title: Spatial differences and formation mechanisms of innovation ecosystem dynamic operational efficiency along the yellow river
Article Snippet: .. Three-dimensional kernel density evolution maps of the overall Yellow River Basin (Fig. ) and the upstream (Fig. ), midstream (Fig. ), and downstream (Fig. ) of the Innovation Ecosystem dynamic operational efficiency of the Innovation Ecosystem were generated via MATLAB 2023. ..