Revues avec Comite de Lecture

Jérémie Bigot

Description

1 STATISTIQUE-2007 References Revues avec Comite de Lecture Annee 2007. [1] A. Antoniadis, J. Bigot, S. Lambert-Lacroix, and L. Letue. Nonpara- metric pre-processing methods and inference tools for analyzing time- of-flight mass spectrometry data. Curr. Anal. Chem., 3(2):127–147, 2007. [2] Anestis Antoniadis, Jeremie Bigot, and Irene Gijbels. Penalized wavelet monotone regression. Statist. Probab. Lett., 77(16):1608–1621, 2007. [3] Tawfik Benchikh, Alain Boudou, and Yves Romain. Mesures aleatoires operatorielle et banachique. Application aux series stationnaires. C. R. Math. Acad. Sci. Paris, 345(6):345–348, 2007. [4] K. Benhenni, F. Ferraty, M. Rachdi, and P. Vieu. Local smoothing regression with functional data. Comput. Statist., 22(3):353–369, 2007. [5] Dankmar Bohning, Wilfried Seidel, Macro Alfo, Bernard Garel, Valentin Patilea, and Gunther Walther. Advances in mixture mod- els. Comput. Statist. Data Anal., 51(11):5205–5210, 2007. [6] Helene Boistard.

• nonparametric functional


• smoothing splines


• local linear smoothing


• regression fonctionnelle sur composantes princi- pales pour variable explicative


• regression

Sujets

• Loubès-Bernac
• Cornez
• Dupuis
• Condorcet (disambiguation)
• Martin
• Seyfert
• Legrand

Informations

• Publié par: pefav
• Nombre de lectures: 49
• Langue: Français

Extrait

1

STATISTIQUE-2007

References

RevuesavecComit´edeLecture

Anne´e2007.

[1]A.Antoniadis,J.Bigot,S.Lambert-Lacroix,andL.Letue´.Nonpara- metric pre-processing methods and inference tools for analyzing time- of-flight mass spectrometry data.Curr. Anal. Chem., 3(2):127–147, 2007.

[2]AnestisAntoniadis,Je´remieBigot,andIr`eneGijbels.Penalized wavelet monotone regression.Statist. Probab. Lett., 77(16):1608–1621, 2007.

[3]TawfikBenchikh,AlainBoudou,andYvesRomain.Mesuresal´eatoires op´eratorielleetbanachique.Applicationauxse´riesstationnaires.C. R. Math. Acad. Sci. Paris, 345(6):345–348, 2007.

[4] K. Benhenni, F. Ferraty, M. Rachdi, and P. Vieu. Local smoothing regression with functional data.Comput. Statist., 22(3):353–369, 2007.

[5]DankmarBo¨hning,WilfriedSeidel,MacroAlfo´,BernardGarel, ValentinPatilea,andG¨untherWalther.Advancesinmixturemod- els.Comput. Statist. Data Anal., 51(11):5205–5210, 2007.

[6]H´ele`neBoistard.LargedeviationsforL-statistics.Statist. Decisions, 25(2):89–125, 2007.

[7]AlainBoudou.Grouped’op´erateursunitairesde´duitd’unemesure spectrale—une application.C. R. Math. Acad. Sci. Paris, 344(12):791– 794, 2007.

[8]Herv´eCardot,ChristopheCrambes,AloisKneip,andPascalSarda. Smoothing splines estimators in functional linear regression with errors- in-variables.Comput. Statist. Data Anal., 51(10):4832–4848, 2007.

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