Céline Lévy-Leduc

Céline Lévy-Leduc

AgroParisTech

H-index: 19

Europe-France

About Céline Lévy-Leduc

Céline Lévy-Leduc, With an exceptional h-index of 19 and a recent h-index of 14 (since 2020), a distinguished researcher at AgroParisTech,

His recent articles reflect a diverse array of research interests and contributions to the field:

Sign consistent estimation in a sparse Poisson model

A novel variable selection method in a nonlinear multivariate model using B-splines with an application to geoscience

Variable Selection in the General Linear Model: Application to Multiomic Approaches for the Study of Seed Quality

Maize (Zea mays L.) interaction with the arbuscular mycorrhizal fungus Rhizophagus irregularis allows mitigation of nitrogen deficiency stress: physiological and …

GlarmaVarSel

A novel approach for estimating functions in the multivariate setting based on an adaptive knot selection for B-splines with an application to a chemical system used in geoscience

Identification of prognostic and predictive biomarkers in high-dimensional data with PPLasso

PPLasso

Céline Lévy-Leduc Information

University

Position

Professeur de statistique à

Citations(all)

1634

Citations(since 2020)

808

Cited By

1247

hIndex(all)

19

hIndex(since 2020)

14

i10Index(all)

27

i10Index(since 2020)

19

Email

University Profile Page

AgroParisTech

Google Scholar

View Google Scholar Profile

Top articles of Céline Lévy-Leduc

Title

Journal

Author(s)

Publication Date

Sign consistent estimation in a sparse Poisson model

Statistics & Probability Letters

Marina Gomtsyan

Céline Lévy-Leduc

Sarah Ouadah

Laure Sansonnet

2024/6/1

A novel variable selection method in a nonlinear multivariate model using B-splines with an application to geoscience

Mary E Savino

Céline Lévy-Leduc

2024/2/5

Variable Selection in the General Linear Model: Application to Multiomic Approaches for the Study of Seed Quality

Biological Data Integration: Computer and Statistical Approaches

Céline LÉVY-LEDUC

Marie PERROT-DOCKÈS

Gwendal CUEFF

Loïc RAJJOU

2024/1/4

Maize (Zea mays L.) interaction with the arbuscular mycorrhizal fungus Rhizophagus irregularis allows mitigation of nitrogen deficiency stress: physiological and …

bioRxiv

Berengere Decouard

Niaz Bahar Chowdhury

Aurelien Saou

Martine Rigault

Isabelle Quillere

...

2023/10/14

GlarmaVarSel

M Gomtsyan

Céline Lévy-Leduc

Sarah Ouadah

Laure Sansonnet

2023/10/2

A novel approach for estimating functions in the multivariate setting based on an adaptive knot selection for B-splines with an application to a chemical system used in geoscience

arXiv preprint arXiv:2306.00686

Mary E Savino

Céline Lévy-Leduc

2023/6/1

Identification of prognostic and predictive biomarkers in high-dimensional data with PPLasso

BMC bioinformatics

Wencan Zhu

Céline Lévy-Leduc

Nils Ternès

2023/1/23

PPLasso

Wencan Zhu

Céline Lévy-Leduc

Nils Ternès

2023

A dimension reduction factor approach for multivariate time series with long-memory: a robust alternative method

Statistical Papers

Valdério Anselmo Reisen

Céline Lévy-Leduc

Edson Zambon Monte

Pascal Bondon

2023/11/15

An active learning approach for improving the performance of equilibrium based chemical simulations

Computational Geosciences

Mary Savino

Céline Lévy-Leduc

Marc Leconte

Benoit Cochepin

2022/4

A spectral approach to estimate the autocovariance function

Journal of Statistical Planning and Inference

Céline Lévy-Leduc

Pascal Bondon

Valdério Reisen

2022/12/1

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

Marie Perrot-Dockes

Céline Lévy-Leduc

Loïc Rajjou

2022/1

Variable selection in sparse multivariate GLARMA models: Application to germination control by environment

arXiv preprint arXiv:2208.14721

M Gomtsyan

Céline Lévy-Leduc

Sarah Ouadah

Laure Sansonnet

Christophe Bailly

...

2022/8/31

Variable selection in sparse GLARMA models

Statistics

Marina Gomtsyan

Céline Lévy-Leduc

Sarah Ouadah

Laure Sansonnet

Thomas Blein

2022/7/4

Sélection de variables dans le modèle linéaire général: application à des approches multiomiques pour étudier la qualité des graines

Intégration de données biologiques: Approches informatiques et statistiques

Céline LÉVY-LEDUC

Marie PERROT-DOCKÈS

Gwendal CUEFF

Loïc RAJJOU

2022/7/1

Variable selection in high-dimensional logistic regression models using a whitening approach

arXiv preprint arXiv:2206.14850

Wencan Zhu

Céline Lévy-Leduc

Nils Ternes

2022/6/29

A variable selection approach for highly correlated predictors in high-dimensional genomic data

Bioinformatics

Wencan Zhu

Céline Lévy-Leduc

Nils Ternès

2021/8/15

Sign Consistency of the Generalized Elastic Net Estimator

arXiv preprint arXiv:2106.05454

Wencan Zhu

Eric Adjakossa

Céline Lévy-Leduc

Nils Ternes

2021/6/10

M-regression spectral estimator for periodic ARMA models. An empirical investigation

Stochastic Environmental Research and Risk Assessment

Alessandro José Queiroz Sarnaglia

Valdério Anselmo Reisen

Pascal Bondon

Céline Lévy-Leduc

2021/3

A novel regularized approach for functional data clustering: An application to milking kinetics in dairy goats

Journal of the Royal Statistical Society Series C: Applied Statistics

Christophe Denis

Emilie Lebarbier

Céline Lévy-Leduc

Olivier Martin

Laure Sansonnet

2020/6

See List of Professors in Céline Lévy-Leduc University(AgroParisTech)

Co-Authors

H-index: 73
Eric Moulines

Eric Moulines

École Polytechnique

H-index: 48
Stéphane ROBIN

Stéphane ROBIN

AgroParisTech

H-index: 48
Zaid Harchaoui

Zaid Harchaoui

University of Washington

H-index: 26
Valderio A. Reisen

Valderio A. Reisen

Universidade Federal do Espírito Santo

H-index: 22
Neyval Reis

Neyval Reis

Universidade Federal do Espírito Santo

H-index: 21
Julien Chiquet

Julien Chiquet

AgroParisTech

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