activity
20172019
most citedAugmenting Adjusted Plus-Minus in Soccer with FIFA Ratings

7 citations · 12 across the 6 of their papers we have counts for

collaborators

6 papers

stat.OT2019★ 1 cited

Continuously Updated Data Analysis Systems

Lee F. Richardson

When doing data science, it's important to know what you're building. This paper describes an idealized final product of a data science project, called a Continuously Updated Data-…

stat.AP2019

Going Deep: Models for Continuous-Time Within-Play Valuation of Game Outcomes in American Football with Tracking Data

Ronald Yurko, Francesca Matano, Lee F. Richardson +4

Continuous-time assessments of game outcomes in sports have become increasingly common in the last decade. In American football, only discrete-time estimates of play value were pos…

stat.AP2018★ 7 cited

Augmenting Adjusted Plus-Minus in Soccer with FIFA Ratings

Francesca Matano, Lee F. Richardson, Taylor Pospisil +2

In basketball and hockey, state-of-the-art player value statistics are often variants of Adjusted Plus-Minus (APM). But APM hasn't had the same impact in soccer, since soccer games…

stat.ME2018★ 1 cited

The Sliding Window Discrete Fourier Transform

Lee F. Richardson, William F. Eddy

This paper introduces a new tool for time-series analysis: the Sliding Window Discrete Fourier Transform (SWDFT). The SWDFT is especially useful for time-series with local- in-time…

cs.DS2017★ 2 cited

The 2D Tree Sliding Window Discrete Fourier Transform

Lee F. Richardson, William F. Eddy

We present a new algorithm for the 2D Sliding Window Discrete Fourier Transform (SWDFT). Our algorithm avoids repeating calculations in overlapping windows by storing them in a tre…

stat.OT2017★ 1 cited

SPEW: Synthetic Populations and Ecosystems of the World

Shannon Gallagher, Lee Richardson, Samuel L. Ventura +1

Agent-based models (ABMs) simulate interactions between autonomous agents in constrained environments over time. ABMs are often used for modeling the spread of infectious diseases.…