27 March 2026, Paris
9.15–9.30: Introduction
9.30–10.00: How can we better manage correlations between variables, such as genetic markers, to improve predictions? (Laure)
10.00–11.00: Prediction using NIRS spectra: objectives, challenges, limitations (Valérie+Matthieu)
11.00–12.00: Modelling extrem values in statistics (Tabea)
13.45–14.30: Introduction to plant breeding schemes, followed by a discussion/exchange on genomic and phenomic prediction: what is the objective? Which statistical model? Which regularisation? (Renaud, Sarah and Estelle)
14.30–15.00: Copulas for modelling complex dependency structures in multivariate vectors, with applications in animal genetics (Tom R.)
15.00–15.30: Introduction to the phenomenon of senescence, key issues, available data (Fabien)
15.30–16.00: Ecophysiological model and rapeseed data: biological issues of interest (Céline)
16.00–16.30: Combining model-based predictions with real-world data to improve estimation and forecasting (Charlotte and Zacharie)