Name: Ron Yurko
Type: User
Company: Department of Statistics & Data Science at Carnegie Mellon University
Bio: Assistant Teaching Professor interested in developing methods at the intersection of inference and machine learning in sports analytics and NLP.
Twitter: Stat_Ron
Location: Pittsburgh, PA
Blog: http://www.stat.cmu.edu/~ryurko/
Ron Yurko's Projects
Public repository to store datasets for 36-315 homework and lab assignments
Introduction to Statistical Research Methodology (36-290)
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Repository with walkthrough for code to reproduce results in "A selective inference approach for FDR control using multi-omics covariates yields insights into disease risk" (https://www.biorxiv.org/content/early/2019/10/16/806471.full.pdf)
Modifications to the adaptMT package including wrapper functions for XGBoost implementation with EM algorithm cross-validation tuning (see pre-print: https://www.biorxiv.org/content/early/2019/10/16/806471)
Repository with walkthrough for code to reproduce results in "An approach to gene-based testing accounting for dependence of tests among nearby genes"
An R API for basketball-reference.com
Markdown documents illustrating Bayesian computations with R
Bayesian Data Analysis course at Aalto
Bayesian Data Analysis demos for R
Repository for Big Data Bowl 2021 code
Benchmarking study of recent covariate-adjusted FDR methods
Homepage for the National Football League's Big Data Bowl
Repository of the winning submission in the 2022 Big Data Derby
Carnegie Mellon Baseball Analytics Workshop materials
R package to accompany the text A Computational Approach to Statistical Learning
Repository of manuscripts for the CMSAC20 Reproducible Research Competition
Repository for code and datasets used in CMSACamp
Repository for SCORE Network preprint and in progress modules created by the CMU Hub
R package for Convolution of Gamma Distributions
An R package for scraping NFL Draft Combine data (2000-current). Current functions also support benchmark tables for each combine drill by position.
Creating course materials and providing a website using R Markdown
CMU Statistics & Data Science data repository
Repository to store lecture material for Data Viz Fall 2022 course
Repository for public class webiste