| 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 | 47 | 2019 |
| 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 | 37 | 2020 |
| 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 | 24 | 2020 |
| 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 | 17 | 2020 |
| 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 | 16 | 2020 |
| nflscrapR: Compiling the NFL play-by-play API for easy use in R M Horowitz, R Yurko, S Ventura URL https://github. com/maksimhorowitz/nflscrapR, r package version 1 (0), 2017 | 16 | 2017 |
| 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 | 8 | 2020 |
| 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 | 6 | 2023 |
| Here Comes the STRAIN: Analyzing Defensive Pass Rush in American Football with Player Tracking Data Q Nguyen, R Yurko, GJ Matthews The American Statistician, 1-10, 2023 | 3 | 2023 |
| Reducing Concussions in the NFL: A Data-Driven Approach K Pelechrinis, R Yurko, S Ventura CHANCE 32 (4), 46-56, 2019 | 2 | 2019 |
| 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 | 1 | 2021 |
| TRAP: A Predictive Framework for Trail Running Assessment of Performance R Fogliato, NL Oliveira, R Yurko arXiv preprint arXiv:2002.01328, 2020 | 1 | 2020 |
| Fractional Tackles: Leveraging Player Tracking Data for Within-Play Tackling Evaluation in American Football Q Nguyen, R Jiang, M Ellingwood, R Yurko arXiv preprint arXiv:2403.14769, 2024 | | 2024 |
| 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 | | 2023 |
| Analytics, have some humility: a statistical view of fourth-down decision making RS Brill, AJ Wyner arXiv preprint arXiv:2311.03490, 2023 | | 2023 |
| 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 | | 2021 |
| 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 | | 2019 |
| Catching Trout N Maurice, D Sebring, J Valenzuela, R Yurko | | 2019 |
| A selective inference approach for FDR control using multi-omics covariates yields insights into disease risk R Yurko, M G’Sell, K Roeder, B Devlin bioRxiv, 806471, 2019 | | 2019 |
| Selective inference approaches for augmenting genetic association studies with multi-omics metadata R Yurko Carnegie Mellon University, 0 | | |
Konstantinos PelechrinisAssociate Professor, Department of Informatics and Networked Systems, School of Computing andVerified email at pitt.edu
