PhD Scholarship at RMIT University Melbourne, Australia: Bayesian Approaches to Screening Designs of Experiments PhD Project in Bayesian Approaches to Screening Designs of Experiments In order to overcome the difficulties with classical designs related to the dependence on an assumed statistical model, the number of blocks, sample size, and multi-stratum structures, Bayesian approaches are proposed along with the supersaturated and D-optimal designs in the literature. This project aims to explore the current literature on Bayesian supersaturated D-optimal designs and develop current Bayesian A- or D-optimal designs that are more cost-effective and can be used with multi-stratum structures such as split-plot designs, control type I error around the desired level and improve the power. Candidates who have completed a Bayesian course and a DoE course in their previous studies are highly encouraged.

Inquiries should be sent to Dr Haydar Demirhan ([email protected]) or A/Prof Stelios Georgiou ([email protected]).

📌 PhD Scholarship at RMIT University Melbourne, Australia: Bayesian Approaches to Screening Desig[...]
🏢 The International Society for Bayesian Analysis
📍 Melbourne