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Ronald Yurko
Ronald Yurko
Assistant Teaching Professor, Carnegie Mellon University
Zweryfikowany adres z andrew.cmu.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
nflWAR: a reproducible method for offensive player evaluation in football
R Yurko, S Ventura, M Horowitz
Journal of Quantitative Analysis in Sports 15 (3), 163-183, 2019
692019
Going deep: models for continuous-time within-play valuation of game outcomes in American football with tracking data
R Yurko, F Matano, LF Richardson, N Granered, T Pospisil, K Pelechrinis, ...
Journal of Quantitative Analysis in Sports 16 (2), 163-182, 2020
482020
Unsupervised methods for identifying pass coverage among defensive backs with NFL player tracking data
R Dutta, R Yurko, SL Ventura
Journal of Quantitative Analysis in Sports 16 (2), 143-161, 2020
272020
H-MAGMA, inheriting a shaky statistical foundation, yields excess false positives
R Yurko, K Roeder, B Devlin, M G’Sell
BioRxiv, 2020.08. 20.260224, 2020
262020
A selective inference approach for false discovery rate control using multiomics covariates yields insights into disease risk
R Yurko, M G’Sell, K Roeder, B Devlin
Proceedings of the National Academy of Sciences 117 (26), 15028-15035, 2020
182020
nflscrapR: Compiling the NFL play-by-play API for easy use in R
M Horowitz, R Yurko, S Ventura, R Dutta
R package version 1 (0), 2017
182017
Extracting NFL tracking data from images to evaluate quarterbacks and pass defenses
S Mallepalle, R Yurko, K Pelechrinis, SL Ventura
Journal of Quantitative Analysis in Sports 16 (2), 95-120, 2020
122020
Here comes the strain: Analyzing defensive pass rush in American football with player tracking data
Q Nguyen, R Yurko, GJ Matthews
The American Statistician 78 (2), 199-208, 2024
92024
Ron Yurko and Rebecca Nugent’s contribution to the Discussion of ‘Flexible marked spatio-temporal point processes with applications to event sequences from association football …
R Yurko, R Nugent
Journal of the Royal Statistical Society Series C: Applied Statistics 72 (5 …, 2023
62023
Analytics, have some humility: a statistical view of fourth-down decision making
RS Brill, R Yurko, AJ Wyner
arXiv preprint arXiv:2311.03490, 2023
42023
Fractional tackles: leveraging player tracking data for within-play tackling evaluation in American football
Q Nguyen, R Jiang, M Ellingwood, R Yurko
Scientific Reports 15 (1), 2148, 2025
32025
CWAS-Plus: estimating category-wide association of rare noncoding variation from whole-genome sequencing data with cell-type-specific functional data
Y Kim, M Jeong, IG Koh, C Kim, H Lee, JH Kim, R Yurko, IB Kim, J Park, ...
Briefings in Bioinformatics 25 (4), bbae323, 2024
32024
NFL Ghosts: A framework for evaluating defender positioning with conditional density estimation
R Yurko, Q Nguyen, K Pelechrinis
arXiv preprint arXiv:2406.17220, 2024
32024
TRAP: a predictive framework for the assessment of performance in trail running
R Fogliato, NL Oliveira, R Yurko
Journal of Quantitative Analysis in Sports 17 (2), 129-143, 2021
32021
Reducing Concussions in the NFL: A Data-Driven Approach
K Pelechrinis, R Yurko, S Ventura
CHANCE 32 (4), 46-56, 2019
32019
An approach to gene-based testing accounting for dependence of tests among nearby genes
R Yurko, K Roeder, B Devlin, M G’Sell
Briefings in Bioinformatics 22 (6), bbab329, 2021
22021
next-gen-scraPy: Extracting NFL tracking data from images to evaluate quarterbacks and pass defenses
S Mallepalle, R Yurko, K Pelechrinis, SL Ventura
arXiv preprint arXiv:1906.03339, 2019
22019
Do LLMs write like humans? Variation in grammatical and rhetorical styles
A Reinhart, B Markey, M Laudenbach, K Pantusen, R Yurko, G Weinberg, ...
Proceedings of the National Academy of Sciences 122 (8), e2422455122, 2025
12025
TRAP: A Predictive Framework for Trail Running Assessment of Performance
R Fogliato, NL Oliveira, R Yurko
arXiv preprint arXiv:2002.01328, 2020
12020
A multilevel model with heterogeneous variances for snap timing in the National Football League
Q Nguyen, R Yurko
arXiv preprint arXiv:2502.16313, 2025
2025
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