DSTN > Projects > EVSAR

Researchers in charge :
○ Prof. Aliou Diop, ACE MITIC, LERSTAD, UFR SAT, Université Gaston Berger, Saint- Louis, Senegal.

○ Prof. Carlos Ogouyandjou, ACE SMIA, IMSP, Université Abomey-Calavi, Benin.

Other partners:
● Prof. Sophie Dabo-Niang, University of Lille, France and INRIA Lille Nord Europe.

DSTN > Projects > EVSAR

Title: Extreme value modeling and stochastic analysis on Riemannian varieties

Type of project: Research project (4 years)

The EVSAR project aims to develop and apply various generative stochastic methods (describing data generation processes), predictive mathematical models (exploratory analyses, estimation of distribution and regression models) to integrate temporal and spatial events (spatial or spatio-temporal data), massive and complex data (big data, functional data, Riemannian varieties). The common thread running through the research envisaged in this project is the use of stochastic models to represent spatial and/or temporal changes induced by real problems in various fields such as medicine, biology, epidemiology, physics, the environment, hydrology, natural resource management, renewable energies and agriculture, e.g. to detect, predict, extreme events (floods, natural disasters at different locations), resistance/recurrence of cancer events, epidemics, such as COVID-19).

● Research topics in numerical science: Extreme value index, nonparametric estimation, spatial dependence, functional data analysis, Riemannian varieties.
● Other research topics and fields of application: Environment, biostatistics, epidemiology, finance.