regular seminar Nathaniel Stevens (University of Waterloo)
at: 11:00 - 12:00 KCL, Strand room: S0.11 abstract: | As a means of continual improvement and innovation, online controlled experiments are widely used by internet and technology companies to test and evaluate product changes, and new features, and to ensure that user feedback drives decisions. However, experiments on networks are complicated by the fact that the stable unit treatment value assumption (SUTVA) no longer holds. Due to the interconnectivity of users in these networks, a user’s outcome may be influenced by their own treatment assignment as well as the treatment assignment of those they are socially connected with. The design and analysis of the experiment must account for this. In this talk we will explore recent work in this area and focus particularly on the general additive network effect (GANE) family of non-linear models that jointly and flexibly model treatment and network effects. We will then consider Bayesian optimal design in the context of such models, proposing the use of the genetic algorithm to optimize for accurate and precise estimation of treatment effects, while accounting for parameter uncertainty. Through numerical studies with various real-life networks and network-outcome models, we demonstrate the robust performance of our methods compared to existing design construction strategies. Keywords: |
regular seminar Francesca Tripaldi (University of Leeds)
at: 15:00 - 16:30 KCL, Strand room: STRAND BLDG S4.29 abstract: |
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Regular Seminar Bernardo Zan (University of Genoa)
at: 14:00 - 14:01 KCL Strand room: K3.11 abstract:Keywords: | |
regular seminar Harmeet Singh (King's College London)
at: 15:00 - 16:00 KCL, Strand room: K0.19 abstract: | Title - The Hasse norm principle: degrees of failure
TL\DSEMICDR: I will explain why I am basically a finite group theorist. |