| A semiparametric extension of the stochastic block model for longitudinal networks C Matias, T Rebafka, F Villers Biometrika 105 (3), 665-680, 2018 | 88 | 2018 |
| Properties of the stochastic approximation EM algorithm with mini-batch sampling E Kuhn, C Matias, T Rebafka Statistics and Computing 30 (6), 1725-1739, 2020 | 23 | 2020 |
| Bootstrap-based tolerance intervals for application to method validation T Rebafka, S Clémençon, M Feinberg Chemometrics and Intelligent Laboratory Systems 89 (2), 69-81, 2007 | 23 | 2007 |
| Adaptive density estimation in the pile-up model involving measurement errors F Comte, T Rebafka | 12 | 2012 |
| Nonparametric weighted estimators for biased data F Comte, T Rebafka Journal of Statistical Planning and Inference 174, 104-128, 2016 | 11 | 2016 |
| Nonparametric estimation of the mixing density using polynomials T Rebafka, F Roueff Mathematical Methods of Statistics 24, 200-224, 2015 | 11 | 2015 |
| Nonparametric estimation of the mixing density using polynomials T Rebafka, F Roueff Mathematical Methods of Statistics 24, 200-224, 2015 | 11 | 2015 |
| Self-organizing maps for exploration of partially observed data and imputation of missing values S Rejeb, C Duveau, T Rebafka Chemometrics and Intelligent Laboratory Systems 231, 104653, 2022 | 10 | 2022 |
| Information bounds and MCMC parameter estimation for the pile-up model T Rebafka, F Roueff, A Souloumiac Journal of Statistical Planning and Inference 141 (1), 1-16, 2011 | 10 | 2011 |
| A corrected likelihood approach for the pile-up model with application to fluorescence lifetime measurements using exponential mixtures T Rebafka, F Roueff, A Souloumiac The International Journal of Biostatistics 6 (1), 2010 | 8 | 2010 |
| An MCMC approach for estimating a fluorescence lifetime with pile-up distorsion T Rebafka GRETSI 2007: 21ème colloque sur le traitement du signal et des images …, 2007 | 8 | 2007 |
| Graph inference with clustering and false discovery rate control T Rebafka, E Roquain, F Villers arXiv preprint arXiv:1907.10176, 2019 | 7 | 2019 |
| Powerful multiple testing of paired null hypotheses using a latent graph model T Rebafka, É Roquain, F Villers Electronic Journal of Statistics 16 (1), 2796-2858, 2022 | 5 | 2022 |
| False clustering rate control in mixture models A Marandon, T Rebafka, E Roquain, N Sokolovska arXiv preprint arXiv:2203.02597, 2022 | 3 | 2022 |
| Estimation dans le modèle d'empilement avec application aux mesures de la fluorescence résolue en temps T Rebafka Télécom ParisTech, 2009 | 3* | 2009 |
| Désempilement de mesures de temps de réponse par un algorithme EM modifié T REBAFKA, F ROUEFF, A SOULOUMIAC GRETSI 2009: 22ème colloque sur le traitement du signal et des images, 2009 | 3 | 2009 |
| Model-based clustering of multiple networks with a hierarchical algorithm T Rebafka Statistics and Computing 34 (1), 32, 2024 | 2 | 2024 |
| Data-Driven Score-Based Models for Generating Stable Structures with Adaptive Crystal Cells A Sultanov, JC Crivello, T Rebafka, N Sokolovska Journal of Chemical Information and Modeling 63 (22), 6986-6997, 2023 | 1 | 2023 |
| Statistique computationnelle T Rebafka Sorbonne Université, 2018 | 1 | 2018 |
| Eigenrange: A Robust Spectral Method for Dimensionality Reduction M Kharouf, T Rebafka, N Sokolovska | 1 | 2016 |
