Section: New Results
Data units selection in statistics
Participant : Christophe Biernacki.
Usually, the data unit definition is fixed by the practitioner but it can happen that it hesitates between several data unit options. In this context, it is highlighted that it is possible to embed data unit selection into a classical model selection principle. The problem is introduced in a regression context before to focus on the model-based clustering and co-clustering context, for data of different kinds (continuous, categorical, counting, ...). It has led to an invitation to an international workshop [29] and a preprint is being to be prepared.
It is a joint work with Alexandre Lourme from University of Bordeaux.