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Original Articles

Bias reduction in kernel density estimation

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Pages 505-522 | Received 28 May 2017, Accepted 15 Feb 2018, Published online: 27 Feb 2018

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Read on this site (3)

Yousri Slaoui. (2022) Bernstein polynomial of recursive regression estimation with censored data. Stochastic Models 38:3, pages 462-487.
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Yousri Slaoui. (2021) Two new nonparametric kernel distribution estimators based on a transformation of the data. Journal of Applied Statistics 48:12, pages 2065-2091.
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Yousri Slaoui. (2020) Nonparametric relative recursive regression estimators for censored data. Stochastic Models 36:4, pages 638-660.
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Articles from other publishers (6)

Yousri Slaoui. (2023) Methodology for nonparametric bias reduction in kernel regression estimation. Monte Carlo Methods and Applications 29:1, pages 55-77.
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Salima Helali, Afif Masmoudi & Yousri Slaoui. (2022) Semi-Parametric Estimation Using Bernstein Polynomial and a Finite Gaussian Mixture Model. Entropy 24:3, pages 315.
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Farhad Farokhi. (2020) Deconvoluting kernel density estimation and regression for locally differentially private data. Scientific Reports 10:1.
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Timothy Fortune & Hailin Sang. (2020) Shannon Entropy Estimation for Linear Processes. Journal of Risk and Financial Management 13:9, pages 205.
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Yousri Slaoui & Salah Khardani. (2020) Nonparametric relative recursive regression. Dependence Modeling 8:1, pages 221-238.
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Yousri Slaoui. (2019) Optimal bandwidth selection for recursive Gumbel kernel density estimators. Dependence Modeling 7:1, pages 375-393.
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