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329
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Wed, 8/5/2020,
10:00 AM -
2:00 PM
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Virtual
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Prediction and Performance: Applications of Statistics in Sports — Contributed Papers
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Section on Statistics in Sports
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Chair(s): Andrew W Swift, University of Nebraska At Omaha
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Space-Time VON CRAMM: Evaluating Decision-Making in Tennis with Variational GeneratiON of Complete Resolution Arcs via Mixture Modeling
Stephanie Kovalchik, Zelus Analytics; Martin Ingram, University of Melbourne; Kokum Weeratunga, Edge 10; Cagatay Goncu, Monash University
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How to Extend Elo: A Bayesian Perspective
Martin Ingram, University of Melbourne
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Ranking and Prediction in Elite Swimming: Extreme Value Theory Applied to Longitudinal Data
Harry Spearing, Lancaster University
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Investigating the Determinants of Success in Caribbean Premier League (CPL) T20 Cricket
Rudrunath Singh, The University of the West Indies; Isaac Dialsingh, The University of the West Indies
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