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Accueil > Research teams > Statistique > Research fields
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.
