SCIENTIFIC PROGRAM
Session 1: Modelling and Model Analysis
10:00 Pierre Carmier
Wheat growth modeling with coupled soil and stress modules
10:25 Etienne Claverie
Modelling soil temperature to predict emergence of maize
10:50 Véronique Letort
The Pipe Model Theory, look-back on 50 years of uses and misuses
11:15 Gautier Viaud
Genotypic differentiation of Arabidopsis Thaliana: a Greenlab model based on data obtained through image processing
11:40 Julien Sainte-Marie
Sensitivity analysis with dependent variables applied to Sunflo. Generalization of Sobol indices and copulas
12:05 Lunch
Session 2: Statistical Learning and Inference
14:00 Sarah Lemler
Statistical inference for multivariate stochastic processes with application to neurosciences
14:35 Chloé Adam
Pattern recognition in medical apps usage sequences
15:00 Thomas Galinier
Using crop model to support growing conditions typology
15:25 Xiangtuo Chen
A comparison between data-based and model-based approaches for crop yield prediction
15:50 Coffee Break
Session 3: Parameter Estimation in Mechanistic Models
16:05 Samis Trevezas
Nonparametric Methods for Crop Yield Prediction
16:40 Antonin Della Noce
Application of Mixed-effect models to single-stemmed plant development
17:05 Paul-Henry Cournède
Testing variance components in nonlinear mixed effects models. Application to plant growth modelling
17:30 Konstantinos Kutroumpas
Sequential Monte-Carlo and Approximate Bayesian computation for population parameter estimation using single cell data
17:55 Conclusion