skip to content

Bradley-Terry models for pair-comparison networks: Structure and scalability

Presented by: 
David Firth
Friday 7th July 2017 - 09:45 to 10:30
INI Seminar Room 1
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.
University of Cambridge Research Councils UK
    Clay Mathematics Institute London Mathematical Society NM Rothschild and Sons