Charles R Doss
Scholar

Charles R Doss

Google Scholar ID: YFuRpr0AAAAJ
University of Minnesota
StatisticsNonparametric function estimationShape-constrained inferenceEmpirical processes
Citations & Impact
All-time
Citations
195
 
H-index
9
 
i10-index
7
 
Publications
20
 
Co-authors
6
list available
Contact
Resume
Research Experience
  • Associate professor in the School of Statistics of the University of Minnesota.
Education
  • Did his dissertation at the University of Washington with Jon Wellner and his undergraduate B.S. in mathematics at the University of Chicago.
Background
  • Interested in empirical process theory and its applications, and nonparametric estimation/inference (in particular, in contexts of estimation/inference for functions satisfying shape constraints).
Miscellany
  • A Mentor with the Math Alliance. 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.