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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+estimator/pmc12271366-435-15-20
    Average 90 stars, based on 1 article reviews
    kernel density estimation (kde) - by Bioz Stars, 2026-10
    90/100 stars

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    other:

    Article Title: Rational inference strategies and the genesis of polarization and extremism
    Article Snippet: The density of the observed distribution was calculated by passing an optimal kernel density estimator over the observed data (the default values of kernel bandwidth in MATLAB’s ksdensity being optimal for normal distributions28) to calculate a probability density at each of the points i.

    Article Title: Large-scale mGluR5 network abnormalities linked to epilepsy duration in focal cortical dysplasia
    Article Snippet: The probability density function was then computed for each regional BP ND distribution, at the individual subject level, using kernel density estimation with automatically chosen bandwidths (function: kde, http://www.mathworks.com/matlabcentral/fileexchange/14034-kernel-density-estimator) ( ).

    Article Title: Molecular mechanism of cytoplasmic dynein tension sensing
    Article Snippet: The 95% CIs of the 4000 unbinding rates were obtained by estimating the area under the probability distribution with the MATLAB kernel density estimator.

    Article Title: Canalisation and plasticity on the developmental manifold of Caenorhabditis elegans.
    Article Snippet: Marginal distributions were computed with a kernel density estimator implemented with the ksdensity function in MATLAB.

    Article Title: Cross-validation and permutations in MVPA: Validity of permutation strategies and power of cross-validation schemes.
    Article Snippet: In both cases, the histograms were smoothed with a kernel density estimator, as implemented by Matlab function ksdensity.

    Article Title: Disrupting cortico-cerebellar communication impairs dexterity
    Article Snippet: To exclude distortion of the phase distribution from transient firing rate changes at stimulus onset, we used spikes occurring from 500 ms of stimulus onset to the termination of the stimulus at 2000 ms. For each neuron, we computed the phase distribution of spikes using a kernel density estimator with a bandwidth of σ = 0.3 ( , code available at https://www.mathworks.com/matlabcentral/fileexchange/44072-kernel-density-estimation-for-circular-functions ).

    Transformation Assay:

    Article Title: Molecular mechanism of cytoplasmic dynein tension sensing
    Article Snippet: .. To improve statistics and to reduce the effects of bin size on the transformation of unbinding forces into unbinding rates, we are estimating P(F) and S(F) by applying a kernel density estimator to the measured unbinding forces using the statistical toolbox of 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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    MathWorks Inc kernel density estimation ksdensity
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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