AnnaNikishova, from Computational Science Lab, UvA
In this work, the sensitivity analysis of a single scale model is employed in order to reduce the input dimensionality of the related multiscale model, in this way, improving the efficiency of its uncertainty estimation. In the talk, I will first remind youdefinition and methods of sensitivity analysis. Then, I will explain to you the approach and illustrate it using two examples: a reaction model and the standard Ornstein-Uhlenbeck process. Additionally, I will show a counterexample, where an uncertain inputshould not be excluded from uncertainty quantification without estimating the response sensitivity to this parameter. In particular, an analysis of the function defining the relation between single scale components is required to understand whether single scalesensitivity analysis can be used to reduce the dimensionality of the overall multiscale model input space.
14:00-16:00 : Informal discussions
16:00-17:00 : Plenary lecture
17:00-18:00 : drinks
You can find an agenda for weekly meetings on IAS website.
About the Friday Club
It’s a weekly informal gathering, where you can bring your issues/projects to discuss, help others to find solutions for their projects, exchange ideas and meet newpeople. The SbS Club opens at 14:00and there is no agenda other than a plenary session from 16:00-17:00, organized by junior scientists (e.g. lectures, discussions, a journal club).