Guest Speaker: Prof. Stefanie Biedermanne (University of Southampton, UK)

Time: 2014-9-12, 15:00 - 16:00

Location: Conference Room, College of Life Sciences and Bioengineering

Abstract:
      Finding optimal designs for nonlinear models is challenging, and mainly depends on numerical approaches. There is need for a general and efficient algorithm which is more broadly applicable than the current state of the art methods. We present a new algorithm which can be used to? find optimal designs with respect to a broad class of optimality criteria, when the model parameters or functions thereof are of interest, and for both locally optimal and multi-stage design strategies. We prove convergence to the optimal design, and show in various examples that the new algorithm outperforms the current state of the art algorithms.