Home
About
Advanced Search
Browse by Discipline
Scientific Societies
E-print Alerts
Add E-prints
FAQ
•
HELP
•
SITE MAP
•
CONTACT US
Search
Advanced Search
Mas, André - Département de Mathématiques, Université Montpellier II
PCA-Kernel Estimation Gerard Biau
LINEAR PROCESSES FOR FUNCTIONAL DATA Andre Mas a and Besnik Pumo b
Polycomb-Dependent Regulatory Contacts between Distant Hox Loci in Drosophila
Tests de comparaison de distributions Cette section doit tre place la suite du cours sur les tests (aprs le test de Bartlett). Elle en
Testing for the mean of random curves : a penalization approach.
Asymptotics of prediction in functional linear regression with functional outputs
Consistance du prdicteur dans le modle ARH(1) : le cas compact.
Exercices de Probabilits-Statistiques Ce document est disponible sur www.math.univ-montp2.fr/ mas
Introduction au logiciel R R est un logiciel libre, clone d'un autre logiciel trs clbre dans la communaut statisticienne S+. Il peut
Anne 2005-2006 STE 1 Statistique II
Weak convergence for the covariance operators of a hilbertian linear process.
Perturbation approach applied to the asymptotic study of random operators.
Large and moderate deviations principles for functional autoregressive processes
Probability Theory and Related Fields manuscript No. (will be inserted by the editor)
Functional linear regression with derivatives , Besnik PUMO
A sharp concentration-based adaptive segmentation algorithm Christophe Fiorio, Andre Mas
Local linear regression for functional data Alain Berlinet, Abdallah Elamine, Andr Mas
Lower bound in regression for functional data by representation of small ball probabilities
ORDER IDENTIFICATION OF A HIDDEN MARKOV MODEL WITH EMISSIONS FROM THE EXPONENTIAL FAMILY
A su cient condition for the CLT in the space of nuclear operators -Application to covariance of
Un nouveau TCL pour les oprateurs de covariance dans le modle ARH(1).
Local Functional Principal Component Analysis Abstract. Covariance operators of random functions are crucial tools to study
POLYTECH'MONTPELLIER Departement IG
Local linear regression with seminorms A. Berlinet, A. Elamine, A. Mas
