[Statlist] Séminaires de Statistique - ISTAT

[KONDYLIS Atanassios]

Séminaires de Statistique 
Institut de Statistique, Université de Neuchâtel 
Espace de l'Europe 4, Neuchâtel
http://www2.unine.ch/statistics


Mardi 16 mai 2006 à 11h00 
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Prof. Sara van de Geer, Seminar für Statistik ETH, Zurich 

Title:  High-dimensional generalized linear models and the Lasso

For abstract, see http://www2.unine.ch/documentmanager/files/seco/statistique/vangeer.pdf



Mardi 23 mai 2006 à 11h00 
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Ph.D. Cristian Preda, University of Lille, France

Title:   Regression models for functional data by reproducing kernel Hilbert spaces methods

Abstract : Non-parametric regression models are developed when the predictor
is a function-valued random variable $X=\{X_{t}\}_{t\in T}$. Based on a representation 
of the regression function $f(X)$ in a reproducing kernel Hilbert space such models 
generalize the classical setting used in statistical learning theory. Two applications 
corresponding to scalar and categorical response random variable are performed on 
stock-exchange and medical data. The results of different regression models are compared.


For abstracts and more info on the Statistical Seminars in the 
Institute of Statistics, see http://www2.unine.ch/statistics/page9123.html