Yousri Slaoui

Available identifiers

zbMath Open slaoui.yousriMaRDI QIDQ828047

List of research outcomes

Publication	Date of Publication	Type
Nonparametric recursive method for generalized kernel estimators for dependent functional data	2024-03-04	Paper
The discrete \(q\)-Gaussian distribution \(\mathcal{N}_q(\mu, \sigma^2)\): properties and parameters estimation	2024-02-09	Paper
Plug‐in bandwidth selector for recursive kernel regression estimators defined by stochastic approximation method	2023-12-12	Paper
Asymptotic normality of the regression mode in the nonparametric random design model for censored data	2023-09-11	Paper
Nonparametric recursive estimation for multivariate derivative functions by stochastic approximation method	2023-08-21	Paper
Two-time-scale nonparametric recursive regression estimator for independent functional data	2023-07-12	Paper
The stochastic approximation method for semi-recursive multivariate kernel-type regression estimation	2023-04-06	Paper
Recursive and non-recursive regression estimators using Bernstein polynomials	2023-04-06	Paper
Methodology for nonparametric bias reduction in kernel regression estimation	2023-03-17	Paper
Recursive kernel regression estimation under α – mixing data	2022-12-16	Paper
Estimation in a binomial stochastic blockmodel for a weighted graph by a variational expectation maximization algorithm	2022-09-14	Paper
Bernstein polynomial of recursive regression estimation with censored data	2022-07-18	Paper
Bandwidth selector for nonparametric recursive density estimation for spatial data defined by stochastic approximation method	2022-05-18	Paper
The stochastic approximation method for recursive kernel estimation of the conditional extreme value index	2022-05-10	Paper
Recursive regression estimation based on the two-time-scale stochastic approximation method and Bernstein polynomials	2022-04-04	Paper
Nonparametric recursive method for moment generating function kernel-type estimators	2022-03-04	Paper
Two new nonparametric kernel distribution estimators based on a transformation of the data	2022-03-01	Paper
Moderate deviation principles for nonparametric recursive distribution estimators using Bernstein polynomials	2022-01-26	Paper
https://portal.mardi4nfdi.de/entity/Q5018648	2021-12-21	Paper
Large and moderate deviation principles for averaged stochastic approximation method for the estimation of a regression function	2021-10-06	Paper
https://portal.mardi4nfdi.de/entity/Q4991258	2021-06-02	Paper
Nonparametric relative recursive regression estimators for censored data	2021-05-17	Paper
Automatic bandwidth selection for recursive kernel density estimators with length-biased data	2021-05-07	Paper
Recursive nonparametric regression estimation for dependent strong mixing functional data	2021-05-03	Paper
Data-driven deconvolution recursive kernel density estimators defined by stochastic approximation method	2021-05-03	Paper
Recursive non-parametric kernel classification rule estimation for independent functional data	2021-02-25	Paper
Nonparametric relative recursive regression	2021-01-14	Paper
https://portal.mardi4nfdi.de/entity/Q5114795	2020-06-26	Paper
Estimation of a distribution function using Lagrange polynomials with Tchebychev-Gauss points	2020-06-24	Paper
Optimal bandwidth selection for recursive Gumbel kernel density estimators	2020-05-12	Paper
Large and moderate deviation principles for nonparametric recursive kernel distribution estimators defined by stochastic approximation method	2020-04-22	Paper
Recursive nonparametric regression estimation for independent functional data	2020-03-16	Paper
Wild bootstrap bandwidth selection of recursive nonparametric relative regression for independent functional data	2019-10-01	Paper
Large and moderate deviation principles for recursive kernel estimators of a regression function for spatial data defined by stochastic approximation method	2019-09-05	Paper
On the choice of smoothing parameters for semirecursive nonparametric hazard estimators	2019-08-30	Paper
Recursive kernel density estimation and optimal bandwidth selection under \(\alpha\): mixing data	2019-08-27	Paper
Recursive density estimators based on Robbins-Monro's scheme and using Bernstein polynomials	2019-06-27	Paper
Data-driven bandwidth selection for recursive kernel density estimators under double truncation	2019-01-18	Paper
Nonparametric recursive method for kernel-type function estimators for spatial data	2018-06-20	Paper
Bias reduction in kernel density estimation	2018-05-28	Paper
Optimal bandwidth selection for semi-recursive kernel regression estimators	2018-05-08	Paper
Recursive distribution estimator defined by stochastic approximation method using Bernstein polynomials	2018-01-05	Paper
Recursive kernel density estimators under missing data	2017-11-03	Paper
Bandwidth Selection in Deconvolution Kernel Distribution Estimators Defined by Stochastic Approximation Method with Laplace Errors	2017-03-27	Paper
https://portal.mardi4nfdi.de/entity/Q5501182	2015-08-13	Paper
Large and moderate deviation principles for recursive kernel density estimators defined by stochastic approximation method	2015-07-07	Paper
The stochastic approximation method for estimation of a distribution function	2015-03-13	Paper
Bandwidth selection for recursive kernel density estimators defined by stochastic approximation method	2015-03-11	Paper
Parameter estimation in a hierarchical random intercept model with censored response: an approach using a SEM algorithm and Gibbs sampling	2015-03-02	Paper
The stochastic approximation method for the estimation of a multivariate probability density	2009-04-30	Paper
Revisiting R\'ev\'esz's stochastic approximation method for the estimation of a regression function	2009-04-27	Paper

Research outcomes over time

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This page was built for person: Yousri Slaoui