Zobrazeno 1 - 10 of 13 pro vyhledávání: '"Tabea Rebafka"'
1
Akademický článek
Conformal novelty detection for multiple metabolic networks
Autor: Ariane Marandon, Tabea Rebafka, Nataliya Sokolovska, Hédi Soula
Publikováno v: BMC Bioinformatics, Vol 25, Iss 1, Pp 1-18 (2024)
Abstract Background Graphical representations are useful to model complex data in general and biological interactions in particular. Our main motivation is the comparison of metabolic networks in the wider context of developing noninvasive accurate d
Externí odkaz: https://doaj.org/article/36b5f1d4faee491c9b4c96463c1595b6
Zobrazit plný text záznamu
2
Self-Organizing Maps for Exploration of Partially Observed Data and Imputation of Missing Values
Autor: Sara Rejeb, Catherine Duveau, Tabea Rebafka
The self-organizing map is an unsupervised neural network which is widely used for data visualisation and clustering in the field of chemometrics. The classical Kohonen algorithm that computes self-organizing maps is suitable only for complete data w
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31b45a2bca3593ee171522ff08103ac6
http://arxiv.org/abs/2202.07963
Zobrazit plný text záznamu
4
A semiparametric extension of the stochastic block model for longitudinal networks
Autor: Catherine Matias, Tabea Rebafka, Fanny Villers
Publikováno v: Biometrika. 105:665-680
To model recurrent interaction events in continuous time, an extension of the stochastic block model is proposed where every individual belongs to a latent group and interactions between two individuals follow a conditional inhomogeneous Poisson proc
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19a078226c3a2cab505e77cf01ade282
https://doi.org/10.1093/biomet/asy016
Zobrazit plný text záznamu
5
Consistent Spectral Methods for Dimensionality Reduction
Autor: Tabea Rebafka, Nataliya Sokolovska, Malika Kharouf
Publikováno v: 2018 26th European Signal Processing Conference (EUSIPCO)
2018 26th European Signal Processing Conference (EUSIPCO), Sep 2018, Rome, Italy. pp.286-290, ⟨10.23919/EUSIPCO.2018.8553295⟩
EUSIPCO
International audience; This paper addresses the problem of dimension reduction of noisy data, more precisely the challenge to determine the dimension of the subspace where the observed signal lives in. Based on results from random matrix theory, two
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16618537c6a8d1188d03a32ac215c4b1
https://utt.hal.science/hal-02307357
Zobrazit plný text záznamu
6
Nonparametric estimation of the mixing density using polynomials
Autor: Tabea Rebafka, François Roueff
Publikováno v: Mathematical Methods of Statistics
Mathematical Methods of Statistics, 2015, 24 (3), pp.200-224
Mathematical Methods of Statistics, Allerton Press, Springer (link), 2015, 24 (3), pp.200-224
International audience; We consider the problem of estimating the mixing density $f$ from $n$ i.i.d. observations distributed according to a mixture density with unknown mixing distribution. In contrast with finite mixtures models, here the distribut
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9cce052932442aa6bff3e8d9c1091c2b
https://doi.org/10.3103/s1066530715030023
Zobrazit plný text záznamu
7
Nonparametric weighted estimators for biased data
Autor: Fabienne Comte, Tabea Rebafka
Publikováno v: Journal of Statistical Planning and Inference
Journal of Statistical Planning and Inference, Elsevier, 2016, 174, pp.104-128. ⟨10.1016/j.jspi.2016.01.008⟩
Journal of Statistical Planning and Inference, 2016, 174, pp.104-128. ⟨10.1016/j.jspi.2016.01.008⟩
Journal of Statistical Planning and Inference, Elsevier, 2016, 174, pp.104-128. 〈10.1016/j.jspi.2016.01.008〉
Starting from a real data example in fluorescence, the problem of nonparametric estimation of a density in a biased data model is considered. Bias correction can be done in two ways: either an estimator is computed with the data and in a second time
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ada2de228978234688c5ad8d154c4023
https://hal.archives-ouvertes.fr/hal-01101970/document
Zobrazit plný text záznamu
8
Bootstrap-based tolerance intervals for application to method validation
Autor: Stéphan Clémençon, Max Feinberg, Tabea Rebafka
Publikováno v: Chemometrics and Intelligent Laboratory Systems
Chemometrics and Intelligent Laboratory Systems, Elsevier, 2007, 89 (2), pp.69-81. ⟨10.1016/j.chemolab.2007.06.001⟩
Chemometrics and Intelligent Laboratory Systems, 2007, 89 (2), pp.69-81. ⟨10.1016/j.chemolab.2007.06.001⟩
International audience; Recently a new validation procedure was developed using a graphical statistical tool - the so-called accuracy profile - that makes interpretation of results easy and straightforward. Accuracy profiles are estimated by toleranc
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d18944523a0aa5076e0a236e41266a7f
https://doi.org/10.1016/j.chemolab.2007.06.001
Zobrazit plný text záznamu
9
Adaptive density estimation in the pile-up model involving measurement errors
Autor: Fabienne Comte, Tabea Rebafka
Publikováno v: Electronic journal of statistics
Electronic journal of statistics, Shaker Heights, OH : Institute of Mathematical Statistics, 2012, 6, pp.2002-2037
Electronic Journal of Statistics
Electronic Journal of Statistics, Shaker Heights, OH : Institute of Mathematical Statistics, 2012, 6, pp.2002-2037. ⟨10.1214/12-EJS737⟩
Electronic journal of statistics, Shaker Heights, OH : Institute of Mathematical Statistics, 2012, 6, pp.2002-2037. 〈10.1214/12-EJS737〉
Electronic journal of statistics, Shaker Heights, OH : Institute of Mathematical Statistics, 2012, 6, pp.2002-2037. ⟨10.1214/12-EJS737⟩
Electron. J. Statist. 6 (2012), 2002-2037
Electronic Journal of Statistics, 2012, 6, pp.2002-2037. ⟨10.1214/12-EJS737⟩
Motivated by fluorescence lifetime measurements, this paper considers the problem of nonparametric density estimation in the pile-up model, where observations suffer also from measurement errors. In the pile-up model, an observation is defined as the
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8d005574556dee109327c34df96d6e8
https://doi.org/10.1214/12-ejs737
Zobrazit plný text záznamu
10
A corrected likelihood approach for the nonlinear transformation model with application to fluorescence lifetime measurements using exponential mixtures
Autor: Tabea Rebafka, Antoine Souloumiac, François Roueff
Publikováno v: The international journal of biostatistics
The international journal of biostatistics, 2010, 6 (1)
International Journal of Biostatistics
International Journal of Biostatistics, De Gruyter, 2010, 6 (1)
International audience; A fast and efficient estimation method is proposed that compensates the so-called pile-up effect encountered in fluorescence lifetime measurements. The pile-up effect is due to the fact that only the shortest arrival time of a
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::298b8632038a53eca09801a2111cd71f
https://pubmed.ncbi.nlm.nih.gov/21969970
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje