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Tabea Rebafka
Tabea Rebafka
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Title
Cited by
Cited by
Year
A semiparametric extension of the stochastic block model for longitudinal networks
C Matias, T Rebafka, F Villers
Biometrika 105 (3), 665-680, 2018
902018
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
232020
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
232007
Adaptive density estimation in the pile-up model involving measurement errors
F Comte, T Rebafka
122012
Nonparametric weighted estimators for biased data
F Comte, T Rebafka
Journal of Statistical Planning and Inference 174, 104-128, 2016
112016
Nonparametric estimation of the mixing density using polynomials
T Rebafka, F Roueff
Mathematical Methods of Statistics 24, 200-224, 2015
112015
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
102022
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
102011
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
82010
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
82007
Graph inference with clustering and false discovery rate control
T Rebafka, E Roquain, F Villers
arXiv preprint arXiv:1907.10176, 2019
72019
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
62022
False clustering rate control in mixture models
A Marandon, T Rebafka, E Roquain, N Sokolovska
arXiv preprint arXiv:2203.02597, 2022
42022
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
32009
Model-based clustering of multiple networks with a hierarchical algorithm
T Rebafka
Statistics and Computing 34 (1), 32, 2024
22024
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
22023
Statistique computationnelle
T Rebafka
Sorbonne Université, 2018
12018
Eigenrange: A Robust Spectral Method for Dimensionality Reduction
M Kharouf, T Rebafka, N Sokolovska
12016
A corrected likelihood approach for the nonlinear transformation model with application to fluorescence lifetime measurements using exponential mixtures
T Rebafka, F Roueff, A Souloumiac
The international journal of biostatistics 6 (1), 2010
12010
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Articles 1–20