Karl Gregory
Associate Professor
Department of Statistics
University of South Carolina
LeConte College 216C
gregorkb [at] stat.sc.edu

I earned my PhD in Statistics in 2014 from the Department of Statistics at Texas A&M University, after which I spent two years as a post-doc at the University of Mannheim before starting as an assistant professor at USC in 2016. My research has focused on the bootstrap, nonparameteric estimation, high dimensional regression, and post-selection inference problems.
CV
Find below links to my course pages and a few publications.
Teaching
Spring 2025
Past semesters
Undergraduate
Graduate
Some papers
- Qinyan Shen, Karl Gregory, Xianzheng Huang, Post-selection inference in regression models for group testing data, Biometrics, 80(3), September 2024.
https://doi.org/10.1093/biomtc/ujae101
- Karl Gregory, Enno Mammen, Martin Wahl, Statistical inference in sparse high-dimensional additive models, Annals of Statistics, 49(3), June 2021.
https://doi.org/10.1214/20-AOS2011
- Debraj Das, Karl Gregory, Soumendra Lahiri, Perturbation bootstrap in adaptive lasso, Annals of Statistics, 47(4), August 2019.
https://doi.org/10.1214/18-AOS1741
- Karl Gregory, Dewei Wang, Christopher McMahan, Adaptive elastic net for group testing, Biometrics, 75(1), March 2019.
https://doi.org/10.1111/biom.12973
- Karl Gregory, Soumendra Lahiri, Daniel Nordman, A smooth block bootstrap for quantile regression with time series. Annals of Statistics, 46(3), June 2018.
https://doi.org/10.1214/17-AOS1580
- Karl Gregory, Soumendra Lahiri, Daniel Nordman, A smooth block bootstrap for statistical functionals and time series, Journal of Time Series Analysis, 36(3), February 2015.
https://doi.org/10.1111/jtsa.12117
- Karl Gregory, Raymond Carroll, Veerabhadran Baladandayuthapani, Soumendra Lahiri, A two-sample test for equality of means in high dimension. Journal of the American Statistical Association, 110(510), July 2014.
https://doi.org/10.1080/01621459.2014.934826
See also