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Cited article:

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Uniform almost sure convergence and asymptotic distribution of the wavelet-based estimators of partial derivatives of multivariate density function under weak dependence

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Uniform convergence rate of the kernel regression estimator adaptive to intrinsic dimension in presence of censored data

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A kernel mode estimate under random left truncation and time series model: asymptotic normality

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Uniform rate of strong consistency for a smooth kernel estimator of the conditional mode for censored time series

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A Generalization of the Averaging Procedure: The Use of Two-Time-Scale Algorithms

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Joint Behaviour of Semirecursive Kernel Estimators of the Location and of the Size of the Mode of a Probability Density Function

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A note on the convergence rate of the kernel density estimator of the mode

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Moderate deviations for the kernel mode estimator and some applications

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A large deviations upper bound for the kernel mode estimator

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Rates of consistency for nonparametric estimation of the mode in absence of smoothness assumptions

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On the asymptotic properties of a simple estimate of the Mode

Christophe Abraham, Gérard Biau and Benoît Cadre
ESAIM: Probability and Statistics 8 1 (2004)
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