Tabea Rebafka
Tabea Rebafka
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Titre
Citée par
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Année
A semiparametric extension of the stochastic block model for longitudinal networks
C Matias, T Rebafka, F Villers
Biometrika 105 (3), 665-680, 2018
442018
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
192007
Nonparametric weighted estimators for biased data
F Comte, T Rebafka
Journal of Statistical Planning and Inference 174, 104-128, 2016
92016
Nonparametric estimation of the mixing density using polynomials
T Rebafka, F Roueff
Mathematical Methods of Statistics 24 (3), 200-224, 2015
92015
Nonparametric estimation of the mixing density using polynomials
T Rebafka, F Roueff
Mathematical Methods of Statistics 24 (3), 200-224, 2015
92015
Adaptive density estimation in the pile-up model involving measurement errors
F Comte, T Rebafka
Electronic journal of statistics 6, 2002-2037, 2012
92012
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
82011
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
62020
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
62010
An MCMC approach for estimating a fluorescence lifetime with pile-up distortion
T Rebafka
21° Colloque GRETSI, Troyes, FRA, 11-14 septembre 2007, 2007
62007
Graph inference with clustering and false discovery rate control
T Rebafka, E Roquain, F Villers
arXiv preprint arXiv:1907.10176, 2019
42019
Mécanismes de développement de lhétérogénéité du couvert végétal dans une prairie pâturée par des ovins
F Garcia
INAPG (AgroParisTech), 2003
2*2003
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
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
Désempilement de mesures de temps de réponse par un algorithme EM modifié
T REBAFKA, F ROUEFF, A SOULOUMIAC
XXIIe colloque GRETSI (traitement du signal et des images), Dijon (FRA), 8 …, 2009
12009
Mini batch version of stochastic approximation EM: properties and applications
E Kuhn, C Matias, T Rebafka
32. European Meeting of Statisticians-EMS, 2019
2019
Consistent Spectral Methods for Dimensionality Reduction
M Kharouf, T Rebafka, N Sokolovska
2018 26th European Signal Processing Conference (EUSIPCO), 286-290, 2018
2018
COMPARISON OF SOME RECENT METHODS IN ADAPTIVE DENSITY ESTIMATION FOR BIASED DATA
F Comte, T Rebafka
2015
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