Classification supervisée en grande dimension. Application à l'agrément de conduite automobile
Jean-Michel Poggi; Christine Tuleau
Revue de Statistique Appliquée (2006)
- Volume: 54, Issue: 4, page 41-60
- ISSN: 0035-175X
Access Full Article
topHow to cite
topPoggi, Jean-Michel, and Tuleau, Christine. "Classification supervisée en grande dimension. Application à l'agrément de conduite automobile." Revue de Statistique Appliquée 54.4 (2006): 41-60. <http://eudml.org/doc/106588>.
@article{Poggi2006,
author = {Poggi, Jean-Michel, Tuleau, Christine},
journal = {Revue de Statistique Appliquée},
language = {fre},
number = {4},
pages = {41-60},
publisher = {Société française de statistique},
title = {Classification supervisée en grande dimension. Application à l'agrément de conduite automobile},
url = {http://eudml.org/doc/106588},
volume = {54},
year = {2006},
}
TY - JOUR
AU - Poggi, Jean-Michel
AU - Tuleau, Christine
TI - Classification supervisée en grande dimension. Application à l'agrément de conduite automobile
JO - Revue de Statistique Appliquée
PY - 2006
PB - Société française de statistique
VL - 54
IS - 4
SP - 41
EP - 60
LA - fre
UR - http://eudml.org/doc/106588
ER -
References
top- [1] AMATO U., ANTONIADIS A.and DE FEIS I. ( 2005), Dimension reduction in functional regression with applicarions, To appear in Comp. Stat. and Data. Anal. Zbl05381685
- [2] ANSALDI N. ( 2002), Contributions des méthodes statistiques à la quantification de l'agrément de conduite, PhD thesis, Marne-la-Vallée.
- [3] BARRON A.R., BIRGÉ L. and MASSART P. ( 1999), Risk bounds for model selection via penalization, Probability Theory and Related Fieds, 113 :301-413. Zbl0946.62036MR1679028
- [4] BESSE P. and CARDOT H. ( 2003), Modélisation statistique de données fonctionnelles, in G. Covaert, editor, Analyse de données, Hermes.
- [5] BIAU G., BUNEA F.and WEGKAMP M. ( 2005), Functional classification in Hilbert spaces, IEEE Trans. inf. Theory, 51(6) :2163-2172. Zbl1285.94015MR2235289
- [6] BIGOT J. ( 2003), Recalage des signaux et analyse de la variance fonctionnelle par ondelettes; application au domaine biomédical, PhD thesis, Grenoble.
- [7] BREIMAN L., FRIEDMAN J., OLSHEN R.and STONE C. ( 1984), Classification and Regression Trees, Chapman et Hall. Zbl0541.62042MR726392
- [8] COIFMAN R.and SAITO N. ( 1964), Constructions of local orthonormal bases for classification and regression, C. R. Acad. Sci. Paris (Ser. 1) : 191-196. Zbl0801.62004
- [9] COIFMAN R.and WICKERHAUSER M. ( 1992), Entropy-based algorithms for best basis selection, IEEE Trans. Inform. Theory, 38(2) :713-719. Zbl0849.94005
- [10] DAUXOIS J. and POUSSE A. ( 1976), Les analyses factorielles en calcul des probabilités et en statistique : essai d'étude synthétique, PhD thesis, université Toulouse III. Zbl0326.62039
- [11] DEVILLE J.C. ( 1974), Méthodes statistiques et numériques de l'analyse harmonique, Annales de l'Insee, 15 :7-97.
- [12] DONOHO D. and JOHNSTONE I. ( 1994), Ideal spatial adaptation by wavelet shrinkage, Biometrika, 81(3) :425-455. Zbl0815.62019MR1311089
- [13] DUDOIT S., FRIDLYAND J. and SPEED T. ( 2002), Comparison of discrimination methods for the classification of tumors using gene expression data, Journal of the American Statistical Association, 97(457) :77-87. Zbl1073.62576MR1963389
- [14] FAVRE C. ( 1999), Analyse en normes L1 et L° des distances et des préférences. Planification en analyse sensorielle. Application au confort d'accueil de sièges automobiles, PhD thesis, Université de Rennes II.
- [15] FERRATY F. and VIEU P. ( 2003), Curves discrimination : a nonparametric functional approach, Computational Statistics and Data Analysis, 44(1-2) :161-173. Zbl05373903MR2020144
- [16] FERRÉ L. and VILLA N. ( 2005), Discrimination de courbes par régression inverse fonctionnelle, Revue de Statistique Appliquée, LIII(l) :39-57.
- [17] FERRÉ L. and YAO A.F. ( 2003) Functional sliced inverse regression analysis, Statistics, 37(6) :475-488. Zbl1032.62052MR2022235
- [18] GHATTAS B. ( 1999), Agrégation d'arbres de classification, Revue de Statistique Appliquée, XLVIII(2) :85-98.
- [19] GHATTAS B. ( 1999), Importance des variables dans les méthodes CART, Revue de modulad, 24 :29-39.
- [20] HASTIE T., BUJA A. and TIBSHIRANI R. ( 1995), Penalized discriminant analysis, Annals of Statistics, 23 :73-102. Zbl0821.62031MR1331657
- [21] HASTIE T., TIBSHIRANI R. and FRIEDMAN J.( 2001), The Elements of Statistical Learning, Springer. Zbl0973.62007MR1851606
- [22] LEURGANS S., MOYEED R. and SILVERMAN B. ( 1993), Canonical correlation analysis when the data are curves, Journal of the Royal Statistical Society Series B, 55 :725-740. Zbl0803.62049MR1223939
- [23] MALLAT S. ( 1998), A wavelet tour of signal processing, Academic Press. Zbl0937.94001MR1614527
- [24] MISITI M., MISITI Y., OPPENHEIM G. and POGGI J.-M. ( 2003), Les ondelettes et leurs applications, Hermes. Zbl1167.42300
- [25] RAMSAY J. and SILVERMAN B. ( 1997), Functional Data Analysis, Springer. Zbl0882.62002MR2168993
- [26] RAMSAY J. and SILVERMAN B. ( 2002), Applied Functional Data Analysis, Springer. Zbl1011.62002MR1910407
- [27] ROSSI F. and CONAN-GUEZ B. ( 2005), Functional multi-layer perceptron : a non-linear tool for functional data analysis, Neural networks, 18(1) :45-60. Zbl1085.68134
- [28] SAUVÉ M. and TULEAU C. ( 2006), Variable selection through CART, Rapport de recherche, INRIA, 5912 :l-30. Zbl1305.62154
- [29] VANNUCCI M., BROWN P.J. and FEARN T. ( 2003), A decision theoretical approach to wavelet regression on curves with a high number of regressors, Journal of Statistical planning and inference, 112 :195-212. Zbl1032.62004MR1961730
- [30] VIDAKOVIC B. ( 1999), Statistical modeling by wavelets, Wiley. Zbl0924.62032MR1681904
Citations in EuDML Documents
topNotesEmbed ?
topTo embed these notes on your page include the following JavaScript code on your page where you want the notes to appear.