
Design Optimization for Bayesian Experiments
5 days ago
This project aims to develop new Bayesian A- or D-optimal designs that are more cost-effective and can be used with multi-stratum structures such as split-plot designs.
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 supersaturated and D-optimal designs in the literature.
Candidates who have completed a Bayesian course and a Design of Experiments (DoE) course in their previous studies are highly encouraged.
The successful candidate will work closely with academics from RMIT University to explore the current literature on Bayesian supersaturated D-optimal designs and develop new cost-effective solutions.
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Melbourne, Victoria, Australia The International Society for Bayesian Analysis Full timePhD Scholarship at RMIT University Melbourne, Australia: Bayesian Approaches to Screening Designs of ExperimentsPhD Project in Bayesian Approaches to Screening Designs of ExperimentsIn 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...
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Melbourne, Victoria, Australia beBeeBayesian Full time $60,000 - $80,000Optimizing Bayesian Approaches in Experimental DesignThis project focuses on the development of Bayesian approaches to screening designs of experiments, aiming to overcome classical design limitations related to dependence on assumed statistical models.A key objective is to explore existing literature on Bayesian supersaturated D-optimal designs and create...
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