|Home||Rechears> Groups> Representations, Aproximations and Probabilistics Metrics|
Representations, Aproximations and Probabilistics Metrics.
The main interest of the group relies on basic
research in Probability Theory and Mathematical Statistics. A defining
feature of the group is its interest in the analysis of basic concepts
in Statistics from different viewpoints (geometric representation and
approximation ideas, probabilistic metrics, robustness and stability,
etc.). A major goal of the group is the development of new statistical
methods with a view towards practical applicability. Currently, principal
lines of research focus on the study of robust procedures, model validation,
statistical learning (supervised and unsupervised) as well as the related
probabilistic foundations. This is a consolidated group with a trajectory
that spans over a period of more than 30 years.
Lines of Research
Currently, among the procedures we are analyzing, we highlight the methodologies related to: