Céline Lévy‐Leduc

Centre National de la Recherche Scientifique — France

Mathematics · Physical Sciences

16h-index1.2kcitations100works0.02yr avg
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Research Topics

Statistical Methods and Inference(35), Advanced Statistical Methods and Models(33), Financial Risk and Volatility Modeling(19), Gene expression and cancer classification(11), Bayesian Methods and Mixture Models(9)

Publications100 total

A novel variable selection method in nonlinear multivariate models using B-splines with an application to geoscience
Journal of Applied Statistics·2025Open Access
Sign consistency of the generalized elastic net estimator
Communication in Statistics- Theory and Methods·2025
Variable selection in sparse multivariate GLARMA models: application to germination control by environment
Statistical Methods & Applications·2025
Variable Selection in the General Linear Model
2023
A dimension reduction factor approach for multivariate time series with long-memory: a robust alternative method
Statistical Papers·2023Open Access
Unlocking the Mycorrhizal Nitrogen Pathway Puzzle: Metabolic Modelling and multi-omics unveil Pyrimidines’ Role in Maize Nutrition via Arbuscular Mycorrhizal Fungi Amidst Nitrogen Scarcity
2023· 1 citedOpen Access
Identification of prognostic and predictive biomarkers in high-dimensional data with PPLasso
BMC Bioinformatics·2023· 5 citedOpen Access
A novel approach for estimating functions in the multivariate setting based on an adaptive knot selection for B-splines
SPIRE - Sciences Po Institutional REpository·2023
Variable selection in sparse GLARMA models
2022Open Access
Variable selection in sparse GLARMA models
Statistics·2022· 4 citedOpen Access
Variable selection in high-dimensional logistic regression models using a whitening approach
arXiv (Cornell University)·2022Open Access
A spectral approach to estimate the autocovariance function
Journal of Statistical Planning and Inference·2022· 3 citedOpen Access
An active learning approach for improving the performance of equilibrium based chemical simulations
Computational Geosciences·2022· 4 citedOpen Access
Sélection de variables dans le modèle linéaire général en grande dimension : application à des approches ``multi-omiques'' pour l'étude de la qualité des graines
SPIRE - Sciences Po Institutional REpository·2022Open Access
An active learning approach for improving the performance of equilibrium based chemical simulations
arXiv (Cornell University)·2021Open Access
Estimation of Large Block Structured Covariance Matrices: Application to ‘Multi-Omic’ Approaches to Study Seed Quality
Journal of the Royal Statistical Society Series C (Applied Statistics)·2021· 5 citedOpen Access
Sign Consistency of the Generalized Elastic Net Estimator
arXiv (Cornell University)·2021Open Access
A variable selection approach for highly correlated predictors in high-dimensional genomic data
Bioinformatics·2021· 12 citedOpen Access
M-regression spectral estimator for periodic ARMA models. An empirical investigation
Stochastic Environmental Research and Risk Assessment·2021· 9 citedOpen Access
A variable selection approach for highly correlated predictors in high-dimensional genomic data
arXiv (Cornell University)·2020· 1 citedOpen Access
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Frequent Co-authors

Valdério Anselmo Reisen(11), Murad S. Taqqu(7), Laure Sansonnet(6), Éric Moulines(5), Marie Perrot-Dockès(5), Pascal Bondon(4), Stéphane Robin(3), Alexandre Lung-Yut-Fong(3), Olivier Cappé(3), Souhil Chakar(3), Hélène Boistard(3), Alessandro José Queiroz Sarnaglia(3), Julien Chiquet(3), Élisabeth Gassiat(3), Vincent Brault(3), Zaïd Harchaoui(2), Maud Delattre(2), Tristan Mary‐Huard(2), François Roueff(2), Maximilien Grandclaudon(2)