Speaker: Doug Wiens, University of Alberta (CAN)
Location: Math department, Niels Henrik Abels hus, 8th floor

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.

Titles and abstracts will be announced two weeks in advance, please check the following web-page:
https://www.mn.uio.no/math/english/research/groups/statistics-biostatistics/events/

Contact Information:
Riccardo De Bin – debin@math.uio.no
Emanuele Gramuglia – emanueg@math.uio.no