Many traditional, powerhouse sports are currently undergoing an analytics revolution. While ultimate is a relatively young sport, it is certainly not immune to this revolution. Most ultimate data presently track basic ...

In this dissertation, we consider semi-parametric estimation problems under semi-supervised (SS) settings, wherein the available data consists of a small or moderate sized labeled data (L), and a much larger unlabeled data ...

This dissertation develops an inferential framework for a highly non-parametric class of network models called graphons, which are the limit objects of converging sequences in the theory of dense graph limits. The theory, ...

Sleep quality and heart rate variability are hypothesized in research to be indicators of improved or impaired athletic performance. This is especially relevant for the sport of endurance running. Very little research has ...

In spite of substantial results in time series analysis, there remain many unsolved problems and challenges in design of generally applicable prediction systems. In this dissertation, we address some of the challenges. We ...

As algorithms are increasingly used to classify people in contexts like criminal justice, college admissions, and advertising, it is important to ensure that these algorithms are socially responsible and treat people the ...

This paper improves upon the existing mathematical methods for measuring partisan distortion and evaluating partisan gerrymandering in plurality-won, single-member district electoral systems. The measures and models presented ...