Ronald Yurko

Ronald Yurko

Carnegie Mellon University

H-index: 7

North America-United States

About Ronald Yurko

Ronald Yurko, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at Carnegie Mellon University, specializes in the field of clustering, computational statistics, statistics in sports, statistical genetics, selective inference.

His recent articles reflect a diverse array of research interests and contributions to the field:

Here Comes the STRAIN: Analyzing Defensive Pass Rush in American Football with Player Tracking Data

CWAS-Plus: Estimating category-wide association of rare noncoding variation from whole-genome sequencing data with cell-type-specific functional data

Analytics, have some humility: a statistical view of fourth-down decision making

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 …

An approach to gene-based testing accounting for dependence of tests among nearby genes

TRAP: a predictive framework for the Assessment of Performance in Trail Running

H-MAGMA, inheriting a shaky statistical foundation, yields excess false positives

A selective inference approach for false discovery rate control using multiomics covariates yields insights into disease risk

Ronald Yurko Information

University

Position

PhD Student

Citations(all)

164

Citations(since 2020)

164

Cited By

51

hIndex(all)

7

hIndex(since 2020)

7

i10Index(all)

6

i10Index(since 2020)

6

Email

University Profile Page

Google Scholar

Ronald Yurko Skills & Research Interests

clustering

computational statistics

statistics in sports

statistical genetics

selective inference

Top articles of Ronald Yurko

Here Comes the STRAIN: Analyzing Defensive Pass Rush in American Football with Player Tracking Data

The American Statistician

2023/7/25

Quang Nguyen
Quang Nguyen

H-Index: 8

Ronald Yurko
Ronald Yurko

H-Index: 4

CWAS-Plus: Estimating category-wide association of rare noncoding variation from whole-genome sequencing data with cell-type-specific functional data

medRxiv

2024

Analytics, have some humility: a statistical view of fourth-down decision making

arXiv preprint arXiv:2311.03490

2023/11/6

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 …

Journal of the Royal Statistical Society Series C: Applied Statistics

2023/11

An approach to gene-based testing accounting for dependence of tests among nearby genes

Briefings in Bioinformatics

2021/11

TRAP: a predictive framework for the Assessment of Performance in Trail Running

Journal of Quantitative Analysis in Sports

2020/2/4

Riccardo Fogliato
Riccardo Fogliato

H-Index: 3

Ronald Yurko
Ronald Yurko

H-Index: 4

H-MAGMA, inheriting a shaky statistical foundation, yields excess false positives

BioRxiv

2020/8/22

A selective inference approach for false discovery rate control using multiomics covariates yields insights into disease risk

Proceedings of the National Academy of Sciences

2020/6/30

Extracting NFL tracking data from images to evaluate quarterbacks and pass defenses

Journal of Quantitative Analysis in Sports

2020/6/25

Unsupervised methods for identifying pass coverage among defensive backs with NFL player tracking data

Journal of Quantitative Analysis in Sports

2020/6/25

Ronald Yurko
Ronald Yurko

H-Index: 4

Going deep: models for continuous-time within-play valuation of game outcomes in American football with tracking data

Journal of Quantitative Analysis in Sports

2020/6/25

TRAP: A Predictive Framework for Trail Running Assessment of Performance

arXiv preprint arXiv:2002.01328

2020/2/4

Riccardo Fogliato
Riccardo Fogliato

H-Index: 3

Ronald Yurko
Ronald Yurko

H-Index: 4

See List of Professors in Ronald Yurko University(Carnegie Mellon University)