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Elodie Brunel-Piccinini
bureau 317 - 3ème étage
04 67 14 41 64 |
Brunel E., Comte F., Duval C., (2024)
Nonparametric estimation for additive concurrent regression models, accepté pour publication à Bernoulli .
Faye P., Brunel E., Claverie T., Mawaki Manou-Abi S., Dabo-Niang S. (2024)
Automatic geomorphological mapping using ground truth data with coverage sampling and random forest algorithms,
Earth Science Informatics, In press.
Brunel E., Comte F., (2021)
Hazard regression with non compactly supported bases,
The Canadian Journal of Statistics ,
49, 4, 1273-1297.
Bouaziz O., Brunel E., Comte F., (2019)
Nonparametric survival function estimation for data subject to interval censoring case 2,
Journal of Nonparametric Statistics, 31(4), 952-987.
Brunel E., Comte F., Genon-Catalot V., (2016)
Nonparametric density and survival function estimation in the multiplicative censoring model, Test , 25.3 (sept. 2016), pp. 570-590.
Brunel E., Mas A., Roche A., (2016) Non-asymptotic adaptive prediction in functional linear models,
Journal of Multivariate Analysis, 143, pp.208-232.
Brunel E., Roche A., (2015) Penalized contrast estimation in functional linear models with circular data,
Statistics,49 (6), pp.1298-1321.
Brunel E., Comte F., Guilloux A., (2014) Estimation/Imputation strategies for missing data in survival analysis,
Vincent Couallier, Léo Gerville-Réache, Catherine Huber-Carol, Nikolaos Limnios and Mounir Mesbah. Statistical Models and Methods for Reliability and Survival Analysis, John Wiley Sons, Inc., Hoboken, USA, pp.229-252.
Brunel E., Comte F., Guilloux A., (2013) Nonparametric estimation for survival data with censoring indicators missing at random,
J. Statist. Plann. Inf. , 143 (10), pp.1653-1671.
Brunel E., Comte F., (2011),
Conditional mean residual life estimation,
J. Nonparam. Statist..
23 ,
no. 2, 471-495.
Brunel E., Comte F., Lacour C., (2010) ,
Minimax estimation of the conditional cumulative distribution function,
Sankhya.
72 ,
no. 2, 293-330.
Brunel E., Comte F., (2009) Cumulative distribution function estimation under interval censoring case 1, Electron. J. Stat. 3, 1-24. Brunel E., Comte F., Guilloux A., (2009) Nonparametric density estimation in presence of bias and censoring, Test , 18, no. 1, 166-194. Brunel E., Comte F., Guilloux A., (2008) Adaptive nonparametric strategies for censored lifetimes with unknown sampling bias, Scandinavian Journal of Statistics, 35, no. 3, 557-576. Brunel E., Comte F., (2008) Model selection for additive regression models in the presence of censoring”, Chapitre 1, Mathematical Methods in Survival Analysis, Reliability and Quality of Life. Edité par C. Huber, N. Limnios, M. Mesbah and M. Nikulin, ISTE and Wiley, p. 17-31. Brunel E. , Comte F., (2008) Adaptive estimation of hazard rate with censored data, Communications in Statistics, Theory and methods, 37, no. 8, 1284-1305. Brunel E., Comte F., Lacour C., (2007) Adaptive estimation of the conditional density in presence of censoring, Sankhya . 69 , no. 4, 734-763. Brunel E., Comte F., (2006) Adaptive nonparametric regression estimation in presence of right censoring, Math. Methods Statist. , 15, 3, 233-255. Brunel E., Comte F., (2005) Penalized contrast estimation of density and hazard rate with censored data, Sankhya, 67, Part 3, 441-475. Berlinet A., Brunel E., (2004) Cross-validated density estimates based on Kullback-Leibler information, Journal of Nonparametric Statistics, 16, 3-4, 493-513. Berlinet A., Brunel E., (2002) Kullback-Leibler optimization of density estimates. Recent advances in statistical methods (Montreal, QC, 2001), 31-41, Imp. Coll. Press, London. Berlinet A., Brunel E., (2000) Choix optimal du nombre de classes pour l'estimateur de Barron. Comptes Rendus de l'Académie des Sciences de Paris, 331, no 9, 713-716. Brunel E., (1998), Applications d'Estimateurs de la Densité à la Simulation d'Episodes Pluvieux Extrêmes en Languedoc-Roussillon, Rev. Statistique Appliquée, XLVI (4), 45-58.
Habilitation à Diriger des RecherchesBrunel E., (2013), Contributions à l'estimation non-paramétrique adaptative dans les modèles de durées. Mémoire de synthèse, HDR Université de Montpellier. ThèseBrunel E., (1999), Sur l'estimation de la densité et de la fonction de hasard: estimateurs à noyaux et de Barron, critère de Kullback, applications ,Thèse de doctorat de l'Université Montpellier 2, 158 pages.
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