1 citations · 2 across the 4 of their papers we have counts for
4 papers
Oblique Bayesian additive regression trees
Paul-Hieu V. Nguyen, Ryan Yee, Sameer K. Deshpande
Current implementations of Bayesian Additive Regression Trees (BART) are based on axis-aligned decision rules that recursively partition the feature space using a single feature at…
Scalable piecewise smoothing with BART
Ryan Yee, Soham Ghosh, Sameer K. Deshpande
Although it is an extremely effective, easy-to-use, and increasingly popular tool for nonparametric regression, the Bayesian Additive Regression Trees (BART) model is limited by th…
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…
Evaluating plate discipline in Major League Baseball with Bayesian Additive Regression Trees
Ryan Yee, Sameer K. Deshpande
We introduce a three-step framework to determine at which pitches Major League batters should swing. Unlike traditional plate discipline metrics, which implicitly assume that all b…