activity
20082023
most citedData Analysis with Bayesian Networks: A Bootstrap Approach

266 citations · 492 across the 10 of their papers we have counts for

collaborators

11 papers

cs.GT2023

Entropy-Based Strategies for Multi-Bracket Pools

Ryan S. Brill, Abraham J. Wyner, Ian J. Barnett

Much work in the parimutuel betting literature has discussed estimating event outcome probabilities or developing optimal wagering strategies, particularly for horse race betting.…

stat.AP2022★ 5 cited

A Bayesian analysis of the time through the order penalty in baseball

Ryan S. Brill, Sameer K. Deshpande, Abraham J. Wyner

As a baseball game progresses, batters appear to perform better the more times they face a particular pitcher. The apparent drop-off in pitcher performance from one time through th…

cs.GT2022★ 4 cited

Introducing Grid WAR: Rethinking WAR for Starting Pitchers

Ryan S. Brill, Abraham J. Wyner

The baseball statistic "Wins Above Replacement" (WAR) has emerged as one of the most popular evaluation metrics. But it is not readily observed and tabulated; WAR is an estimate of…

stat.ML2018★ 22 cited

Making Sense of Random Forest Probabilities: a Kernel Perspective

Matthew A. Olson, Abraham J. Wyner

A random forest is a popular tool for estimating probabilities in machine learning classification tasks. However, the means by which this is accomplished is unprincipled: one simpl…

math.ST2016

Yule's "Nonsense Correlation" Solved!

Philip Ernst, Larry Shepp, Abraham Wyner

In this paper, we resolve a longstanding open statistical problem. The problem is to mathematically confirm Yule's 1926 empirical finding of "nonsense correlation" (\cite{Yule}). W…

stat.ML2015★ 61 cited

Explaining the Success of AdaBoost and Random Forests as Interpolating Classifiers

Abraham J. Wyner, Matthew Olson, Justin Bleich +1

There is a large literature explaining why AdaBoost is a successful classifier. The literature on AdaBoost focuses on classifier margins and boosting's interpretation as the optimi…