Statistical analysis of functional data: modeling and applications to environment and health

Functional Data Analysis (FDA) has become an important field in statistics, facilitating the study of data in the shape of functions, curves, and surfaces. With applications spanning biomedicine, neuroscience, climate science, and engineering, FDA offers robust methods for modeling high dimensional, spatial-temporal, and intricately structured data. While FDA is a widely recognized research field in the Global North, its presence is still limited across Africa. To bridge this gap, we organize the first CIMPA (Centre International de Mathématiques Pures et Appliquées) Research School focused on FDA in Tunisia.

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