Title: Optimal experimental designs for function-on-function linear models Authors:  Kalliopi Mylona - King's College London (United Kingdom) [presenting]
Caterina May - Kings College London (United Kingdom)
Theodoros Ladas - King's College London (United Kingdom)
Davide Pigoli - King's College London (United Kingdom)
Abstract: The function-on-function linear model has broad applications in science, industry, and technology. Examples can be found in the pharmaceutical sector, the environment, engineering, chemistry, etc. We propose a Bayesian optimality criterion for constructing optimal experimental designs where both the response and the factors have a functional nature. Several examples of optimal designs are provided and discussed.