Bradley-Terry models for pair-comparison networks: Structure and scalability
- đ¤ Speaker: David Firth (University of Warwick)
- đ Date & Time: Friday 07 July 2017, 09:45 - 10:30
- đ Venue: Seminar Room 1, Newton Institute
Abstract
In this talk I will discuss various aspects of Bradley-Terry models, focusing especially on some aspects that can make the Bradley-Terry model an interesting “toy” case when considering scalable computation and inference more generally. Included will be some (very!) fresh simulation experiments to investigate: (a) large-network bias; and (b) model reformulation to improve distributional properties as well as computational tractability in “structured” Bradley-Terry models. This relates to on-going work with Warwick PhD students David Selby and Ella Kaye, and also with Heather Turner (Warwick) and Ioannis Kosmidis (UCL)—- and so I am especially keen to engage with other participants in this INI programme, to explore competing approaches.
Series This talk is part of the Isaac Newton Institute Seminar Series series.
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David Firth (University of Warwick)
Friday 07 July 2017, 09:45-10:30