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VERSION:2.0
PRODID:-//University of Liverpool Computer Science Seminar System//v2//EN
BEGIN:VEVENT
DTSTAMP:20260620T115229Z
UID:Seminar-dept-1249@lxserverM.csc.liv.ac.uk
ORGANIZER:CN=Lutz Oettershagen:MAILTO:Lutz.Oettershagen@liverpool.ac.uk
DTSTART:20241119T130000
DTEND:20241119T140000
SUMMARY:School Seminar Series
DESCRIPTION:Luca Zanetti: An analysis of Elo rating systems via Markov chains\n\nWe present a theoretical analysis of the Elo rating system, a popular method for calculating the relative skills of players (or teams) in sports analytics and particularly chess. We study Elo under the Bradley–Terry–Luce model and, using techniques from Markov chain theory, show that Elo learns the model parameters at a rate competitive with the state of the art. We apply our results to the problem of efficient tournament design and discuss a connection with the fastest-mixing Markov chain problem. This is joint work with Sam Olesker-Taylor.\n\nhttps://www.csc.liv.ac.uk/research/seminars/abstract.php?id=1249
LOCATION:Ashton Lecture Theatre
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