Recent Publications

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To correct for a large number of hypothesis tests, most researchers rely on simple multiple testing corrections. Yet, new methodologies …

Analysis of player tracking data for American football is in its infancy, since the National Football League (NFL) released its Next …

The NFL collects detailed tracking data capturing the location of all players and the ball during each play. Although the raw form of …

Unlike other major professional sports, American football lacks comprehensive statistical ratings for player evaluation that are both …

Recent & Upcoming Talks

Welcome! Hosted by the CMU Statistics & Data Science Department, the Carnegie Mellon University Football Analytics Workshop is an …

The current state of football analytics is heavily based on proprietary and potentially biased subjective data. Using the ‘nflscrapR’ …

Unlike other major professional sports, American football lacks comprehensive statistical ratings for player evaluation that are both …

As part of a revamp of the general education introductory statistics course at Carnegie Mellon, an interactive data explorer platform …

A common problem encountered in clustering analysis is obtaining different clusters for the same data set using different methods. We …

Recent Posts

Enter marquis de Laplace In my first post on Bayesian data analysis, I did a brief overview of how Bayesian updating works using grid …

First steps I was originally thinking of writing a blog post about multilevel models (aka hierachical, mixed, random effects) because …

First post! Since I have successfully survived my first year of grad school, I’ve decided to start blogging while working on my …