Douglas Wiens: Robustness of Design: A Survey
Douglas Wiens (Department of Mathematics and Statistical Sciences, University of Alberta, CAN) will give a talk on March 12th at 14:15 in the Erling Sverdrups plass, Niels Henrik Abels hus, 8th floor.
Douglas Wiens is Professor Emeritus at the Department of Mathematics and Statistical Sciences of the University of Alberta (CAN)
Title: Robustness of Design: A Survey
Abstract: When an experiment is conducted for purposes which include fitting a particular model to the data, then the 'optimal' experimental design is highly dependent upon the model assumptions - linearity of the response function, independence and homoscedasticity of the errors, etc. When these assumptions are violated the design can be far from optimal, and so a more robust approach is called for. We should seek a design which behaves reasonably well over a large class of plausible models. I will review the progress which has been made on such problems, in a variety of experimental and modelling scenarios - prediction, extrapolation, discrimination, survey sampling, dose-response, machine learning, etc.
Download the flyer here.