149 citations · 220 across the 6 of their papers we have counts for
6 papers
A framework for the fine-grained evaluation of the instantaneous expected value of soccer possessions
Javier Fernandez, Luke Bornn, Daniel Cervone
The expected possession value (EPV) of a soccer possession represents the likelihood of a team scoring or receiving the next goal at any time instance. By decomposing the EPV into…
Automated versus do-it-yourself methods for causal inference: Lessons learned from a data analysis competition
Vincent Dorie, Jennifer Hill, Uri Shalit +2
Statisticians have made great progress in creating methods that reduce our reliance on parametric assumptions. However this explosion in research has resulted in a breadth of infer…
Meta-Analytics: Tools for Understanding the Statistical Properties of Sports Metrics
Alexander Franks, Alexander D'Amour, Daniel Cervone +1
In sports, there is a constant effort to improve metrics which assess player ability, but there has been almost no effort to quantify and compare existing metrics. Any individual m…
Gaussian Process Regression with Location Errors
Daniel Cervone, Natesh S. Pillai
In this paper, we investigate Gaussian process regression models where inputs are subject to measurement error. In spatial statistics, input measurement errors occur when the geogr…
A Multiresolution Stochastic Process Model for Predicting Basketball Possession Outcomes
Daniel Cervone, Alex D'Amour, Luke Bornn +1
Basketball games evolve continuously in space and time as players constantly interact with their teammates, the opposing team, and the ball. However, current analyses of basketball…
A location-mixture autoregressive model for online forecasting of lung tumor motion
Daniel Cervone, Natesh S. Pillai, Debdeep Pati +2
Lung tumor tracking for radiotherapy requires real-time, multiple-step ahead forecasting of a quasi-periodic time series recording instantaneous tumor locations. We introduce a loc…