Section: Overall Objectives

Overall Objectives

Modal is a team focused on statistical methodology for data analysis (clustering, visualization) and learning (classification, density estimation, aggregation, matrix factorization, ...). In this context, the core of the team's work is to design meaningful generative models for prominent complex data (mixed structured data), which are still almost ignored in the literature. From those generative models, learning procedures are proposed.

The scientific objectives of Modal include the two following methodological directions: generative model design and data visualization through such models. In each case, several means of dissemination are considered towards academic and/or industrial communities: publications in international journals (in statistics or biostatistics), workshops to raise or identify emerging topics, and publicly available specific software relying on the proposed new methodologies.