5 citations · 12 across the 9 of their papers we have counts for
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stat.AP2024
The Loser's Curse and the Critical Role of the Utility Function
Ryan S. Brill, Abraham J. Wyner
A longstanding question in the judgment and decision making literature is whether experts, even in high-stakes environments, exhibit the same cognitive biases observed in controlle…
stat.AP2024★ 1 cited
Moving from Machine Learning to Statistics: the case of Expected Points in American football
Ryan S. Brill, Ryan Yee, Sameer K. Deshpande +1
Expected points is a value function fundamental to player evaluation and strategic in-game decision-making across sports analytics, particularly in American football. To estimate e…
stat.ME2024★ 1 cited
Exploring the Difficulty of Estimating Win Probability: A Simulation Study
Ryan S. Brill, Ronald Yurko, Abraham J. Wyner
Estimating win probability is one of the classic modeling tasks of sports analytics. Many widely used win probability estimators use machine learning to fit the relationship betwee…