09:00
10:00
11:00
12:00
13:00
14:00
15:00
9:30 - 11:00 (1h30)
Exposés longs
amphi Lebesgue
› Handling dependence or not in large-dimensional prediction and testing issues
- David Causeur, Institut Agro Rennes Angers
09:30-10:15 (45min)
› Kalman filter with impulse noised outliers: a robust sequential allgorithm to filter data with a large number of outliers
- Bertrand Cloez, Mathématiques, Informatique et STatistique pour l'Environnement et l'Agronomie
10:15-11:00 (45min)
11:30 - 12:15 (45min)
Exposés courts
amphi Lebesgue
› Time series models on the simplex, with an application to dynamic modeling of relative abundance data in Ecology.
- Guillaume Franchi, Centre de Recherche en Économie et Statistique (CREST)
11:30-11:45 (15min)
› Learning the hurst function index of deformed Multi-fractional Brownian sheets
- Omar Kassi, Centre de Recherche en Économie et STatistique (CREST)
11:45-12:00 (15min)
› Model Selection in Latent Structural Equation Models
- Anais Widmer, Institut Agro Rennes Angers
12:00-12:15 (15min)
13:30 - 15:30 (2h)
Mini-cours
amphi Lebesgue
› Comment modéliser la croissance d'une bactérie E. Coli
- Nathalie Krell, Département de mathématiques - Université de Rennes 1
13:30-14:30 (1h)
› "Screening"' and beyond: an effective strategy to deal with some large-scale learning problems.
- Cédric Herzet, Inria Rennes – Bretagne Atlantique
14:30-15:30 (1h)
