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Accueil > Research teams > Statistique > Research fields
This team focuses on various research fields exposed hereafter.
In mathematical statistics the team deals with: construction of new estimation procedures (density, models, regression,...) to find optimal methods from a minimax point of view and to exhibit estimators free of any nuisance parameter;
nonparametric estimation of the regression function;
study of dependence by copulas;
use of algebraic statistics to design experiments;
extreme values analysis in the presence of censored data in a multivariate context,
in a spatial context and in the stationnarity case (with application to particle filters); development of confidence bands and two-sample tests with good moderate sample performance in models of censored competing risks and censored recurrent events;
bayesian methods and classification;
dimension reduction, bayesian regularization;
support estimation.
In applied statistics the team deals with: PLS regression;
application of extreme values theory in Medicine, insurance and environmental scinces;
multiway analysis of tables;
state-space models and their use in marketing science;
survey methodology;
morphological characterization of three dimensional structures.