Chong Gu
Mathematics · Purdue University West Lafayette
Publications
70
Citations
3,588
Est. group size
—
Recurring co-author estimate
Active years
40
Publishing since 1987
Chong Gu works in statistics, focusing on topics such as nonparametric regression (flexible curve-fitting methods that don't assume a fixed formula), smoothing splines, and statistical inference methods including tests for comparing data and estimation techniques for compositional data. This research is largely theoretical and methodological, aimed at developing and refining statistical tools rather than applying them to a specific applied domain.
Publication output has been sparse and irregular over the last decade, with several years showing no recorded publications and a low overall average of about 0.6 papers per year in the last five years.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Paired Tests and Beyond
The American Statistician · 2026
- Composition Estimation Via Shrinkage
SSRN Electronic Journal · 2022
- Grace Wahba and the Wisconsin Spline School
Notices of the American Mathematical Society · 2022
- Nonparametric regression with ordinal responses
Stat · 2021
- Composition Estimation via Shrinkage
arXiv (Cornell University) · 2020
- Stat×1
- Notices of the American Mathematical Society×1
- arXiv (Cornell University)×1
- SSRN Electronic Journal×1
- The American Statistician×1
- Anirban Dasgupta
Mathematics · Purdue University West Lafayette
- Xinyi Xu
Mathematics · The Ohio State University
- Steven N. MacEachern
Mathematics · The Ohio State University
- Jayanta K. Ghosh
Mathematics · Purdue University West Lafayette
- Madan L. Puri
Mathematics · Indiana University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile