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stat.ME2024
Latent Functional PARAFAC for modeling multidimensional longitudinal data
Lucas Sort, Laurent Le Brusquet, Arthur Tenenhaus
In numerous settings, it is increasingly common to deal with longitudinal data organized as high-dimensional multi-dimensional arrays, also known as tensors. Within this framework,…
stat.ME2023★ 1 cited
Functional Generalized Canonical Correlation Analysis for studying multiple longitudinal variables
Lucas Sort, Laurent Le Brusquet, Arthur Tenenhaus
In this paper, we introduce Functional Generalized Canonical Correlation Analysis (FGCCA), a new framework for exploring associations between multiple random processes observed joi…