Charles R. Doss
Associate Professor and Director of Graduate Studies
School of Statistics, University of Minnesota
I work on nonparametric estimation and inference, in particular for functions satisfying shape constraints, on causal inference, and on empirical process theory and its applications.
I did my Ph.D. at the University of Washington with Jon Wellner, and my B.S. in mathematics at the University of Chicago.
Selected papers
- Doubly robust pointwise confidence intervals for a monotonic continuous treatment effect curve Journal of the American Statistical Association, 2026
- A nonparametric doubly robust test for a continuous treatment effect The Annals of Statistics, 2024
- Unlinked monotone regression Journal of Machine Learning Research, 2021
- Inference for the mode of a log-concave density The Annals of Statistics, 2019
- Global rates of convergence of the MLEs of log-concave and \(s\)-concave densities The Annals of Statistics, 2016
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Contact
- Office
- 389 Ford Hall
-
School of Statistics, University of Minnesota
313 Ford Hall, 224 Church Street SE
Minneapolis, MN 55455, USA - Phone
- (612) 625-8046
Outreach
- I have been a mentor with the Math Alliance.
- I have been involved with Run the World, a machine learning summer day camp for high school juniors and seniors at the University of Minnesota. One week’s session is girls-only and one week is all genders.
Service
- Associate Editor, Journal of the American Statistical Association (T&M), 2026–present
- Associate Editor, Electronic Journal of Statistics, 2022–present
- Associate Editor, The American Statistician, 2020–2024
Funding
- NSF DMS-2210312 (sole PI), July 2022 – June 2025
- University of Minnesota College of Liberal Arts, Warwick Mid-Career Faculty Research Award, March 2022 – December 2023
- Minnesota Department of Health, 2021 – 2026
- NSF DMS-1712664 (sole PI), July 2017 – June 2020
- University of Minnesota Grant-in-Aid, 2016–2017