![]() Some Applications of the Strong Approximation of the Integrated Empirical Copula Processes. Nonparametric Mode Regression Estimation for Functional Stationary Ergodic Data. Volume 41 of the series Computational Methods in Applied Sciences, pp. Computational Methods for Solids and Fluids, Springer. Reliability calculus of a Markov Renewal Process on Crack Propagation Problem. Some uniform consistency results in the partially linear additive model components estimation. Multivariate Wavelet Density and Regression Estimators for Stationary and Ergodic Continuous Time Processes : Asymptotic results. On the local time of the weighted bootstrap and compound empirical processes. Asymptotic results for hybrids of empirical and partial sums processes. Strong Approximation of Multidimensional P-P Plots Processes by Gaussian Processes with Applications to Statistical Tests. New nonparametric tests for change-point detection based on the P-P and Q-Q plots processes. General Tests of Independence Based on Empirical Processes Indexed by Functions. Asymptotic properties of pseudo maximum likelihood estimators and test in semi-parametric copula models with multiple change points. Statistical tests in the partially linear additive regression model. New kernel-type estimator of Shannon’s entropy. Strong approximation of empirical copula processes by Gaussian processes. Asymptotic Behavior of Weighted Multivariate Cramér-von Mises-Type Statistics Under Contiguous Alternatives. Statistical Models and Methods for Reliability and Survival Analysis. Some asymptotic results for exchangeably weighted bootstraps of the empirical estimator of a semi-Markov kernel with applications. Exchangeably weighted bootstraps of empirical estimator for semi-Markov kernel. A semiparametric maximum likelihood ratio test for the change point in copula models. New Entropy Estimator with an Application to Test of Normality. On general bootstrap of empirical estimator of a semi-Markov kernel with applications. Strong approximations for weighted bootstrap of empirical and quantile processes with applications. A Strong Invariance Theorem of the Tail Empirical Copula Processes. Dual Divergences Estimators of the Tail Index. On the Strong Approximation of General Bootstrap of Empirical Copula Processes with Applications. New Two-Sample Tests Based on the Integrated Empirical Copula Process. General bootstrap for dual φ-divergence estimates. Test of Symmetry Based on Copula Function. Some New Multivariate Tests of Independence. Uniform-in-bandwidth consistency for kernel-type estimators of Shannon’s entropy. K-sample Problem using Strong Approximations of Empirical Copula Processes. On the Multivariate Two-sample Problem using Strong Approximations of Empirical Copula Processes. Motorway travel time prediction based on to data and weather effect integration. Bootstrap de l’Estimateur de Hill : Théorèmes Limites. Strong Approximation of the Smoothed Q-Q Processes. A semiparametric test of independence in Copula models for censored data. Uniform in Bandwidth consistency of Kernel-Type Estimators of Shannon’s Entropy. New estimates and tests of independence in some copula models via phi-divergences. A new test procedure of independence in Copula models via chi-square-divergence. Uniform-in-Bandwidth Consistency for a Nonparametric Estimate of the Entropy under Random Censorship. Estimation and tests of independence in copula models via divergences. A test of independence in some Copula models. It uses Jekyll and is based on the AcademicPages template. My new website is hosted on GitHub pages ( ). Mathematics, an Open Access Journal by MDPI.Journal of Information Analysis : 2023.Frontiers in Applied Mathematics and Statistics - Statistics and Probability : 2022.Applied Mathematics : Deterministic and Stochastic : 2019.The Open Mathematics, Statistics and Probability Journal : 2019.Statistical Machine Learning Theory and Applications.Limit theorems for dependent random variables.Semi/Nonparametric statistical theory.My specific field of research is the mathematical theory of statistical inference, stochastic processes and their applications. I am working in the area of mathematical statistics. Salim Bouzebda Statut : Professeur des Universités Bureau : GI 118
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