Simultaneous confidence bands for nonparametric regression with functional data DA Degras Statistica Sinica 21, 1735-1765, 2011 | 140 | 2011 |
Online principal component analysis in high dimension: Which algorithm to choose? H Cardot, D Degras International Statistical Review 86 (1), 29-50, 2018 | 109 | 2018 |
A general benevolence dimension that links neural, psychological, economic, and life-span data on altruistic tendencies. J Hubbard, WT Harbaugh, S Srivastava, D Degras, U Mayr Journal of Experimental Psychology: General 145 (10), 1351, 2016 | 106 | 2016 |
Confidence bands for Horvitz–Thompson estimators using sampled noisy functional data H Cardot, D Degras, E Josserand | 38 | 2013 |
Simultaneous confidence bands for the mean of functional data D Degras Wiley Interdisciplinary Reviews: Computational Statistics 9 (3), e1397, 2017 | 35 | 2017 |
Testing for parallelism among trends in multiple time series D Degras, Z Xu, T Zhang, WB Wu IEEE Transactions on Signal Processing 60 (3), 1087-1097, 2011 | 31 | 2011 |
A hierarchical model for simultaneous detection and estimation in multi-subject fMRI studies D Degras, MA Lindquist NeuroImage 98, 61-72, 2014 | 30 | 2014 |
Robust phenotype prediction from gene expression data using differential shrinkage of co-regulated genes K Zarringhalam, D Degras, C Brockel, D Ziemek Scientific reports 8 (1), 1237, 2018 | 26 | 2018 |
Asymptotics for the nonparametric estimation of the mean function of a random process D Degras Statistics & probability letters 78 (17), 2976-2980, 2008 | 20 | 2008 |
Local polynomial estimation of the mean function and its derivatives based on functional data and regular designs K Benhenni, D Degras ESAIM: Probability and Statistics 18, 881-899, 2014 | 14* | 2014 |
Rotation sampling for functional data D Degras Statistica Sinica 24, 1075-1095, 2014 | 12 | 2014 |
onlinepca: Online principal component analysis D Degras, H Cardot R package version 1 (1), 2016 | 9 | 2016 |
Markov-switching state-space models with applications to neuroimaging D Degras, CM Ting, H Ombao Computational Statistics & Data Analysis 174, 107525, 2022 | 8 | 2022 |
Nonparametric estimation of a trend based upon sampled continuous processes D Degras Comptes Rendus Mathematique 347 (3-4), 191-194, 2009 | 7 | 2009 |
Evaluating major depressive episodes through the Algorithmically Structured Systematic Exploration of Subject’s State of Mind S Stoleru, C Kosmadakis, O Coudert, D Degras, JF Allilaire Psychopathology 43 (1), 41-52, 2009 | 6 | 2009 |
Sparse group fused lasso for model segmentation: a hybrid approach D Degras Advances in Data Analysis and Classification 15 (3), 625-671, 2021 | 5 | 2021 |
Convergence de l'estimateur spline cubique de lissage dans un modèle de régression longitudinale avec erreur de type processus D Degras, R Jallet Comptes rendus. Mathématique 340 (11), 851-854, 2005 | 4 | 2005 |
Scalable feature matching across large data collections D Degras Journal of Computational and Graphical Statistics 32 (1), 196-212, 2023 | 1 | 2023 |
Single cell expression and chromatin access of the Toxoplasma gondii lytic cycle identifies AP2XII-8 as an essential pivotal controller of a ribosome regulon J Lou, Y Rezvani, A Arriojas, D Degras, CD Keroack, M Duraisingh, ... BioRXiv, 2023.10. 06.561197, 2023 | 1 | 2023 |
Contribution à l'étude de la régression non paramétrique et à l'estimation de la moyenne d'un processus à temps continu D Degras Université Pierre et Marie Curie-Paris VI, 2007 | 1 | 2007 |