Nonparametric estimates of probability densities
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Publication:4070144
DOI10.1109/TIT.1975.1055408zbMath0312.62033OpenAlexW2156294849MaRDI QIDQ4070144
Publication date: 1975
Published in: IEEE Transactions on Information Theory (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1109/tit.1975.1055408
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Local Properties of k-NN Regression Estimates ⋮ A general kernel functional estimator with general bandwidth—strong consistency and applications ⋮ On the asymptotic properties of smoothed estimators of the classification error rate ⋮ Discrimination and classification: Overview ⋮ On the construction of nonparametric density function estimators using the bootstrap ⋮ Consistency of the kernel density estimator: a survey ⋮ Optimum invariant tests for random manova models ⋮ A modified kernel quantile estimator under censoring ⋮ Nonparametric density estimation from censored data ⋮ Image Segmentation with Shape Priors: Explicit Versus Implicit Representations ⋮ Additive estimators for probabilities of correct classification ⋮ Multivariate k-nearest neighbor density estimates ⋮ A method for the choice of smoothing parameter ⋮ The strong uniform convergence of multivariate variable kernel estimates ⋮ Rate of strong uniform convergence of k-NN density estimates ⋮ A comparative study of some kernel-based nonparametric density estimators ⋮ Sequential and recursive estimators of the probability density
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