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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+estimator/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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    Article Title: Interpreting population- and family-based genome-wide association studies in the presence of confounding
    Article Snippet: From these, we estimated the densities of the absolute values of effect size estimates1074 31 using Matlab’s kernel density estimator ksdensity, specifying that the support of the distributions be1075 positive.

    Article Title: Depicting Coupling Between Cortical Morphology and Functional Networks in Major Depressive Disorder
    Article Snippet: The optimal bandwidth for KDE was automatically determined employing the previous approach [ ], which was implemented using the Botev code (function: kde, accessible at http://www.mathworks.com/matlabcentral/fileexchange/14034-kernel-density-estimator ).

    Article Title: Differential Contributions of CA3 and Entorhinal Cortex Inputs to Ripple Patterns in the Hippocampus Under Cannabidiol
    Article Snippet: Contour plots indicating the density of events in the AUC-AUC plot were computed using a bivariate kernel density estimator implemented with the gkde2 MATLAB function .

    Article Title: Differential contributions of CA3 and entorhinal cortex inputs to ripple patterns in the hippocampus
    Article Snippet: Contour plots indicating the density of events in the AUC-AUC plot were computed using a bivariate kernel density estimator implemented with the gkde2 MATLAB function.

    Article Title: Supplementary Information Double stress of waterlogging and drought drives forest-savanna coexistence
    Article Snippet: First, we determine the empirical probability distribution of tree cover on a 106 sample using a Gaussian kernel estimator (MATLAB function ksdensity) with 7% bandwidth and Gaussian weights set as 0.05 times the precipitation range(1).

    Article Title: Interpreting population- and family-based genome-wide association studies in the presence of confounding
    Article Snippet: From these, we estimated the densities of the absolute values of effect size estimates using Matlab’s kernel density estimator ksdensity, specifying that the support of the distributions be positive.

    Article Title: Polar mesospheric ozone loss initiates downward coupling of solar signal in the Northern Hemisphere.
    Article Snippet: Smoothed NAM probability density distribution estimates were computed using the kernel smoothing estimator (ksdensity) in Matlab.

    Sequencing:

    Article Title: Silencing CA1 pyramidal cells output reveals the role of feedback inhibition in hippocampal oscillations
    Article Snippet: .. In the second method, for each sequence, we calculated its inter-event intervals, and we approximated their distribution using the Kernel Density Estimator of MATLAB. ..



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    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