Scientific Data Services
Talk on "When to Collect Data? A Sobol Index Strategy for Model-Based Experimental Design"
“When to Collect Data? A Sobol Index Strategy for Model-Based Experimental Design” is the title of Houda Yaqine talk, which is being organised by the "Zentrum für Statistik" at Bielefeld University. It will take place on Tuesday, 29 April 2025 from 12:00 to 13:00 in W9-109.
Optimizing measurement timing in experimental studies is crucial for reducing animal sacrifices, especially when investigating systems characterized by ordinary differential equations (ODEs). Conventional sampling strategies frequently collect excessive data points without substantially improving parameter estimation accuracy. Our research introduces a new experimental design framework that analyzes the temporal evolution of variance-based sensitivities in ODE-driven processes. By integrating time-dependent Sobol indices with underlying system dynamics, this approach identifies the most informative sampling points, particularly during phases where parameter interactions are the primary contributors to system variance. Both theoretical analyses and computational experiments confirm that our strategically selected measurement times yield better parameter estimation outcomes compared to traditional protocols.