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kernel density estimation (kde)  (MathWorks Inc)


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    MathWorks Inc kernel density estimation (kde)
    Kernel Density Estimation (Kde), 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/pmc12271366-435-15-20
    Average 90 stars, based on 1 article reviews
    kernel density estimation (kde) - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    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. ..



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    Image Search Results


    3D Kernel Density Estimation of composite service capacity scores for 12 secondary public hospitals in Guangzhou (2019–2023).

    Journal: Frontiers in Health Services

    Article Title: Evaluating and enhancing the service capacity of secondary public hospitals in urban China: a multi-method empirical analysis based on Guangzhou (2019–2023)

    doi: 10.3389/frhs.2025.1621018

    Figure Lengend Snippet: 3D Kernel Density Estimation of composite service capacity scores for 12 secondary public hospitals in Guangzhou (2019–2023).

    Article Snippet: To analyze the dynamic evolution of service capacity across institutions, a 3D Kernel Density Estimation (KDE) was constructed using MATLAB, based on composite TOPSIS scores from 2019 to 2023.

    Techniques:

    Intraoperative direct electrical stimulation sites . All stimulation sites for Patients 1–6 ( A – F ) are visualized on a 3D reconstruction of the anterior bank of their central sulcus and combined on the International Consortium for Brain Mapping (ICBM) 152 central sulcus template ( G ). Effector-specific sites are displayed in blue, while inter-effector sites [somato-cognitive action network (SCAN)] are displayed in red. H displays the spatial relationship between the inter-effector sites and the plis de passage (PDP) Montreal Neurological Institute (MNI) coordinates ( top ) and their probability density estimation ( bottom ). The three coloured circles in the top image represent the same PDP sites as in . ( I ) Box plot showing the probability of overlap between stimulation sites [inter-effector (red) versus single-effector (blue)] for the two subsectors (anterior, posterior) of area 4. Mann–Whitney U-test; not significant, ns: P ≥ 0.05.

    Journal: Brain

    Article Title: White matter connections within the central sulcus subserving the somato-cognitive action network

    doi: 10.1093/brain/awaf022

    Figure Lengend Snippet: Intraoperative direct electrical stimulation sites . All stimulation sites for Patients 1–6 ( A – F ) are visualized on a 3D reconstruction of the anterior bank of their central sulcus and combined on the International Consortium for Brain Mapping (ICBM) 152 central sulcus template ( G ). Effector-specific sites are displayed in blue, while inter-effector sites [somato-cognitive action network (SCAN)] are displayed in red. H displays the spatial relationship between the inter-effector sites and the plis de passage (PDP) Montreal Neurological Institute (MNI) coordinates ( top ) and their probability density estimation ( bottom ). The three coloured circles in the top image represent the same PDP sites as in . ( I ) Box plot showing the probability of overlap between stimulation sites [inter-effector (red) versus single-effector (blue)] for the two subsectors (anterior, posterior) of area 4. Mann–Whitney U-test; not significant, ns: P ≥ 0.05.

    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.

    Techniques: MANN-WHITNEY