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Sarah Lemler
Sarah Lemler
Maître de conférences, Ecole CentraleSupelec
Verified email at centralesupelec.fr
Title
Cited by
Cited by
Year
Oracle inequalities for the Lasso in the high-dimensional Aalen multiplicative intensity model
S Lemler
Annales de l'Institut Henri Poincaré, Probabilités et Statistiques 52 (2 …, 2016
172016
Comprehensive landscape of immune-checkpoints uncovered in clear cell renal cell carcinoma reveals new and emerging therapeutic targets
TL Roux, M Sautreuil, M Bentriou, J Vérine, MB Palma, M Daouya, ...
Cancer Immunology, Immunotherapy 69 (7), 1237-1252, 2020
132020
Adaptive kernel estimation of the baseline function in the Cox model with high-dimensional covariates
A Guilloux, S Lemler, ML Taupin
Journal of Multivariate Analysis 148, 141-159, 2016
132016
Nonparametric drift estimation for diffusions with jumps driven by a Hawkes process
C Dion, S Lemler
Statistical Inference for Stochastic Processes 23 (3), 489-515, 2020
72020
Oracle inequalities for the Lasso for the conditional hazard rate in a high-dimensional setting
S Lemler
arXiv preprint arXiv:1206.5628, 2012
72012
Adaptive estimation of the baseline hazard function in the Cox model by model selection, with high-dimensional covariates
A Guilloux, S Lemler, ML Taupin
Journal of Statistical Planning and Inference 171, 38-62, 2016
62016
Exponential ergodicity for diffusions with jumps driven by a Hawkes process
C Dion, S Lemler, E Löcherbach
Theory of Probability and Mathematical Statistics 102, 97-115, 2020
52020
On the nonparametric inference of coefficients of self-exciting jump-diffusion
C Amorino, C Dion-Blanc, A Gloter, S Lemler
Electronic Journal of Statistics 16 (1), 3212-3277, 2022
42022
Neuronal network inference and membrane potential model using multivariate Hawkes processes
A Bonnet, C Dion-Blanc, F Gindraud, S Lemler
Journal of Neuroscience Methods 372, 109550, 2022
22022
Identifying clusters of health risk behaviors and their predictors in adult survivors of childhood cancer: A report from the French Childhood Cancer Survivor Study
S Pinto, B Fresneau, HC Hounsossou, A Mayet, J Marchi, F Pein, ...
Psycho‐Oncology 29 (10), 1595-1603, 2020
22020
Estimation for counting processes with high-dimensional covariates
S Lemler
Universite d'Evry Val d'Essonne, 2014
22014
Limit theorems and inequalities via martingale methods
JR Chazottes, C Cuny, J Dedecker, X Fan, S Lemler
ESAIM: Proceedings 44, 177-196, 2014
22014
Modeles de durée, analyse de survie
S Lemler
ENSIIE (2012-2013). stat. genopole. cnrs. fr/-media/members/slemler …, 2012
22012
Neural networks to predict survival from RNA-seq data in oncology
M Sautreuil, S Lemler, PH Cournède
International Conference on Computational Methods in Systems Biology, 122-140, 2021
12021
Deep learning based representations for cardiac voxelised dosimetric data from childhood cancer therapy.
M Bentriou, S Chounta, R Allodji, S Lemler, DT Do, F de Vathaire, I Diallo, ...
2022
Study of neural networks to predict survival in oncology
M Sautreuil, S Lemler, PH Cournede
22nd European Young Statisticians Meeting, 107, 2021
2021
Clusters of Health Behaviors and Their Determinants Among Adult Survivors of Childhood Cancer
R Allodji, B Fresneau, H Hounsossou, A Mayet, J Marchi, F Pein, N Journy, ...
PEDIATRIC BLOOD & CANCER 66, S403-S403, 2019
2019
High-dimensional time-varying Aalen and Cox models
MZ Alaya, S Lemler, A Guilloux, T Allart
2018
The Risk of Valvular Heart Disease after a Childhood Cancer in the FCCSS: Contribution of Dose-Volume Histogram Parameters
S Chounta, S Lemler, N Haddy, B Fresneau, I Mansouri, M Bentriou, ...
Réseaux de neurones pour l’analyse de survie en grande dimension
M Sautreuil, S Lemler, PH Cournede
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