Výsledky vyhledávání - "Sana Louhichi"

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Rademacher Generalization Bounds for Classifier Chains

Autor: Simon, Moura, Massih-Reza, Amini, Sana, Louhichi, Marianne, Clausel

In this paper, we propose a new framework to study the generalization property of classifier chains trained over observations associated with multiple and interdependent class labels. The results are based on large deviation inequalities for Lipschit

Externí odkaz: http://arxiv.org/abs/1807.10166

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Neural Architecture Search for Transmission Electron Microscopy: Rapid Automation of Phase and Orientation Determination in TEM images

Autor: Lies Hadjadj, Alexis Deschamps, Edgar Rauch, Massih-Reza Amini, Muriel Veron, Sana Louhichi

Publikováno v: Microscopy and Microanalysis
Microscopy and Microanalysis, 2022, 28 (S1), pp.3166-3169. ⟨10.1017/S1431927622011758⟩

International audience

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0acde067699476f48758a266ba5fcd82
https://doi.org/10.1017/s1431927622011758

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Stable Polynomials and Sums of Dependent Bernoulli Random Variables: Application to Hoeffding Inequalities

Autor: Hazar Ennafti, Sana Louhichi

Publikováno v: Bulletin of the Iranian Mathematical Society. 47:919-927

We give, in this paper, a characterization of the independent representation in law for a sum of dependent Bernoulli random variables. This characterization is related to the stability property of the probability-generating function of this sum, whic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6a9aa8dca95d72c808dcfc418d1f439f
https://doi.org/10.1007/s41980-020-00419-0

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Sur l’excès de la moyenne quadratique des erreurs associées à des fenêtres adaptatives dans l’estimation non-paramétrique de la tendance

Autor: Sana Louhichi, Didier A. Girard, Karim Benhenni

Publikováno v: Advances in Pure and Applied Mathematics
Advances in Pure and Applied Mathematics, 2021, 12 (N° Spécial ), pp.15-35. ⟨10.21494/ISTE.OP.2021.0696⟩
Advances in Pure and Applied Mathematics, De Gruyter, 2021, 12 (N° Spécial ), pp.15-35. ⟨10.21494/ISTE.OP.2021.0696⟩

International audience; We consider the problem of the optimal selection of the smoothing parameter $h$ in kernel estimation of a trend in nonparametric regression models with strictly stationary errors. We suppose that the errors are stochastic vola

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e27775ac83bbb75b893ed98e5a0ee71
https://hal.science/hal-02889802v2/file/Round2-Submission-BGL.pdf

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Exponential growth of branching processes in a general context of lifetimes and birthtimes dependence

Autor: Françoise Pène, Loïc Hervé, Sana Louhichi

Publikováno v: ESAIM: Probability and Statistics
ESAIM: Probability and Statistics, 2019, 23, pp.584-606. ⟨10.1051/ps/2019001⟩
ESAIM: Probability and Statistics, EDP Sciences, 2019, 23, pp.584-606. ⟨10.1051/ps/2019001⟩

We study the exponential growth of branching processes with ancestral dependence. We suppose here that the lifetimes of the cells are dependent random variables, that the numbers of new cells are random and dependent. Lifetimes and new cells’s numb

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47314c036363abc30d84d06c3c2fb28a
https://doi.org/10.1051/ps/2019001

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Multiplicative ergodicity of Laplace transforms for additive functional of Markov chains

Autor: Loïc Hervé, Sana Louhichi, Françoise Pène

Publikováno v: ESAIM: Probability and Statistics
ESAIM: Probability and Statistics, EDP Sciences, 2019, 23, pp.607-637. ⟨10.1051/ps/2019003⟩
ESAIM: Probability and Statistics, 2019, 23, pp.607-637. ⟨10.1051/ps/2019003⟩

This article is motivated by the quantitative study of the exponential growth of Markov-driven bifurcating processes [see Hervé et al., ESAIM: PS 23 (2019) 584–606]. In this respect, a key property is the multiplicative ergodicity, which deals wit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::667db9e5ba6435bf80b9e4d87517c944
https://doi.org/10.1051/ps/2019003

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Trapezoidal rule and sampling designs for the nonparametric estimation of the regression function in models with correlated errors

Autor: Djihad Benelmadani, Sana Louhichi, Karim Benhenni

Publikováno v: Statistics
Statistics, Taylor & Francis: STM, Behavioural Science and Public Health Titles, 2020, 54 (1), pp.59-96. ⟨10.1080/02331888.2020.1715409⟩
Statistics, 2020, 54 (1), pp.59-96. ⟨10.1080/02331888.2020.1715409⟩

The problem of estimating the regression function in a fixed design models with correlated observations is considered. Such observations are obtained from several experimental units, each of them forms a time series. Based on the trapezoidal rule, we

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6fc4513d739de1c385386a61554d5369
https://hal.archives-ouvertes.fr/hal-01892123

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On bandwidth selection problems in nonparametric trend estimation under martingale difference errors

Autor: Didier A. Girard, Karim Benhenni, Sana Louhichi

Publikováno v: Bernoulli
Bernoulli, Bernoulli Society for Mathematical Statistics and Probability, In press, ⟨10.3150/21-BEJ1347⟩
Bernoulli, 2022, 28 (1), pp.395-423. ⟨10.3150/21-BEJ1347⟩

In this paper, we are interested in the problem of smoothing parameter selection in nonparametric curve estimation under dependent errors. We focus on kernel estimation and the case when the errors form a general stationary sequence of martingale dif

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03e39705d43351126c495345b5283be7

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The reproducing kernel Hilbert space approach in nonparametric regression problems with correlated observations

Autor: Sana Louhichi, Djihad Benelmadani, Karim Benhenni

Publikováno v: Annals of the Institute of Statistical Mathematics
Annals of the Institute of Statistical Mathematics, Springer Verlag, In press, pp.1-22. ⟨10.1007/s10463-019-00733-3⟩
Annals of the Institute of Statistical Mathematics, In press, pp.1-22. ⟨10.1007/s10463-019-00733-3⟩

In this paper we investigate the problem of estimating the regression function in models with correlated observations. The data is obtained from several experimental units each of them forms a time series. We propose a new estimator based on the inve

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::279cbc69a23e9b20dbb05c85c2b0ccd2

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On the asymptotic normality of the R-estimators of the slope parameters of simple linear regression models with associated errors

Autor: Dalibor Volný, Ryozo Miura, Sana Louhichi

Publikováno v: Statistics
Statistics, Taylor & Francis: STM, Behavioural Science and Public Health Titles, 2017, Special Issue in Honour of Paul Doukhan: Selected Papers from the Conference on the Occasion of Paul Doukhan’s 60th Birthday: Dependence, Limit Theorems and Applications, 51 (1), pp.167-187. ⟨10.1080/02331888.2016.1261912⟩
Statistics, 2017, Special Issue in Honour of Paul Doukhan: Selected Papers from the Conference on the Occasion of Paul Doukhan’s 60th Birthday: Dependence, Limit Theorems and Applications, 51 (1), pp.167-187. ⟨10.1080/02331888.2016.1261912⟩

International audience; The purpose of this paper is to prove, under mild conditions, the asymptotic normality of the rank estimator of the slope parameter of a simple linear regression model with stationary associated errors. This result follows fro

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::043f648b6ff163fab7844d21e0c5a060
https://hal.archives-ouvertes.fr/hal-01892322

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