7 papers
Commanding the Foul Shot: A New Ensemble of Free Throw Metrics
Jake McGrath, Amanda Glazer, Vanna Bushong +2
With the NBA's adoption of in-game limb tracking in 2023, Sony's Hawk-Eye system now captures high-resolution, 3D poses of players and the ball 60 times per second. Linking these d…
Tractable Algorithms for Changepoint Detection in Player Performance Metrics
Amanda Glazer
We present a tractable framework for detecting changes in performance metrics and apply these methods to Major League Baseball (MLB) batting and pitching data from the 2023 and 202…
Dice, but don't slice: Optimizing the efficiency of ONEAudit
Jacob V Spertus, Amanda K Glazer, Philip B Stark
ONEAudit provides more efficient risk-limiting audits than other extant methods when the voting system cannot report a cast-vote record linked to each cast card. It obviates the ne…
Fast Conservative Monte Carlo Confidence Intervals
Amanda K. Glazer, Philip B. Stark
Extant "fast" algorithms for Monte Carlo confidence sets are limited to univariate shift parameters for the one-sample and two-sample problems using the sample mean as the test sta…
Stylish Risk-Limiting Audits in Practice
Amanda K. Glazer, Jacob V. Spertus, Philip B. Stark
Risk-limiting audits (RLAs) can use information about which ballot cards contain which contests (card-style data, CSD) to ensure that each contest receives adequate scrutiny, witho…
Robust inference for matching under rolling enrollment
Amanda K. Glazer, Samuel D. Pimentel
Matching in observational studies faces complications when units enroll in treatment on a rolling basis. While each treated unit has a specific time of entry into the study, contro…
More style, less work: card-style data decrease risk-limiting audit sample sizes
Amanda K. Glazer, Jacob V. Spertus, Philip B. Stark
U.S. elections rely heavily on computers such as voter registration databases, electronic pollbooks, voting machines, scanners, tabulators, and results reporting websites. These in…