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Miniconference
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Statistical Advances for Real Data Problems
8 February 2018, Paris
MORNING
​9h30 - 10h45
Céline Lévy-Leduc
Statistical methods for analyzing data coming from molecular biology
AFTERNOON
​14h00 - 15h15
Mathilde Mougeot
Statistical and machine learning methods to model and forecast energy consumption or production
​10h45 - 11h00
Coffee break
​11h00 - 11h30
Estelle Kuhn
Testing variance components in nonlinear mixed effects models. Application to plant growth modeling
​11h30 - 12h00
Emilie Devijver
Network inference for "omic" data
16h00 - 16h30
Agathe Guilloux
Sorted-L1 norm for outliers detection and robust regression for large datasets
15h30 - 16h00
Pierre Latouche
The stochastic topic block model
​15h15 - 15h30
Coffee break
PROGRAMME
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