LabCompass

Chong Gu

Mathematics · Purdue University West Lafayette

Established · publishing since 1987

Publications

70

Citations

3,588

Est. group size

Recurring co-author estimate

Active years

40

Publishing since 1987

Research summary
AI-generated

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.

Nonparametric regression and smoothing splinesStatistical inference and hypothesis testingBayesian and mixture model methodsComposition/shrinkage estimationOrdinal and categorical data analysis

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

Publication cadence
Publications per year over the last 10 years — averaging 0.6/year recently
1718192020: 1 publication202021: 1 publication212022: 2 publications2222324252026: 1 publication26
Recent publications
Publishes in
  • Stat×1
  • Notices of the American Mathematical Society×1
  • arXiv (Cornell University)×1
  • SSRN Electronic Journal×1
  • The American Statistician×1
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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.

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