Research
Preprints
Powers S, Stancil L, Consiglio N
Estimating individual contributions to team success in women’s college volleyball
Conference Presentations
2024 Sloan Sports Analytics Conference (Boston) slides, video
“Spotlighting under-the-radar performers in women’s college volleyball”
Joint work w/ Luke Stancil and Naomi Consiglio
2023 New England Symposium on Statistics in Sports (Boston) slides, video
“Estimating individual contributions to team success in women’s college volleyball”
Joint work w/ Luke Stancil and Naomi Consiglio
2023 Saberseminar (Chicago) slides, video
“Pitch trajectory density estimation for predicting future outcomes”
Joint work w/ Vicente Iglesias
2016 Saberseminar (Boston) slides
“Jointly predicting exit velocity and launch angle for batter-pitcher matchups”
2016 Joint Statistical Meetings (Chicago) slides
“Nuclear penalized multinomial regression for predicting at bat outcomes in baseball”
Joint work w/ Trevor Hastie and Rob Tibshirani
2016 SABR Analytics Conference (Phoenix) slides
“True wOBA: Estimation of true talent level for batters”
Joint work w/ Eli Shayer
2015 Saberseminar (Boston) slides
“Rewarding batters for baserunner advancement: A ridge-regressed Rasch model”
Peer Reviewed Publications
Sports
Powers S, Hastie T, Tibshirani R (2018)
Nuclear penalized multinomial regression with an application to predicting at bat outcomes in baseball
Statistical Modelling 18(5-6) 388-410
Burton T, Powers S (2015)
A linear model for estimating optimal service fraction in volleyball
Journal of Quantitative Analysis in Sports 11 117-129
Saavedra S, Powers S, McCotter T, Porter MA, Mucha PJ (2010)
Mutually-antagonistic interactions in baseball networks
Physica A: Statistical Mechanics and its Applications 389 1131-1141
Not Sports
Burton T, Powers S, Burns C, Conway G, Leach F, Senecal K (2023)
A data-driven greenhouse gas emission rate analysis for vehicle comparisons
SAE International Journal of Electrified Vehicles 12(1)
Powers S, McGuire V, Bernstein L, Canchola AJ, Whittemore AS (2019)
Evaluating disease prediction models using a cohort whose covariate distribution differs from that of the target population
Statistical Methods in Medical Research 28(1) 309-320
Powers S, Qian J, Jung K, Schuler A, Shah NH, Hastie T, Tibshirani R (2018)
Some methods for heterogeneous treatment effect estimation in high dimensions
Statistics in Medicine 37(11) 1767-1787
McGinnis L, Powers S, Bangs D, Cherry A, Tibshirani R, Natkunam Y (2016)
Double-hit diffuse large B-cell lymphomas with MYC gene rearrangements more commonly involve BCL2 than BCL6 gene rearrangements as the second hit: A large scale single institution study
Laboratory Investigation 96 362A
Powers S, Hastie T, Tibshirani R (2015)
Customized training with an application to mass spectrometric imaging of cancer tissue
The Annals of Applied Statistics 9 1709-1725
Powers S, DeJongh M, Best AA, Tintle NL (2015)
Cautions about the reliability of pairwise gene correlations based on expression data
Frontiers in Microbiology 6 650
Powers S, Gopalakrishnan S, Tintle NL (2011)
Assessing the impact of non-differential genotyping errors on rare variant tests of association
Human Heredity 72 153-160
Luedtke A, Powers S, Petersen A, Sitarik A, Bekmetjev A, Tintle NL (2011)
Evaluating methods for the analysis of rare variants in sequence data
BMC Proceedings 5 S119
Petersen A, Sitarik A, Luedtke A, Powers S, Bekmetjev A, Tintle NL (2011)
Evaluating methods for combining rare variant data in pathway-based tests of genetic association
BMC Proceedings 5 S48
Magazine/Blog Articles
Powers S (2016)
Toward a Probability Distribution over Batted-Ball Trajectories
The Hardball Times (not peer reviewed)
Smith RL, Powers S, Cisewski J (2014)
Qualifying Times for the Boston Marathon
CHANCE (not peer reviewed)
Student Posters
Kang A, Powers S, Curson T
Not All Features Are Created Equal: Player clustering and evaluation
Presented at Opta Forum 2024