Team

Clustering of complex data (mixed type, missing data, high dimension, large sample size), mixture models, latent variables, EM-like algorithms

Functional data analysis, Scan statistics

Data reuse, Synthetic data

Survival and duration analysis, high-dimensional data analysis, joint modelling

statistical analysis of omics data, variable selection in high dimension in presence of competing risks

Functional data analysis, Spatial statistics, Non-parametric statistics

Clustering, Latent variables

Spatial statistics in oncology, functional data analysis of multiscale spatial profiles, mathematical modeling and optimal control of tumor dynamics, survival analysis and biomarker identification (Kaplan-Meier, time-dependent Cox models, marginal structural models)

Fatigue damage estimation on steel bridges, stress cycle counting, grouped data, EM algorithm, parameter identifiability

Guided Clustering, Deep Generative Models