Grace Wahba
| Grace Wahba | |
|---|---|
| Born | August 3, 1934 |
| Nationality |
 United States |
| Fields | Mathematics |
| Institutions | University of Wisconsin–Madison |
| Alma mater | Stanford University |
| Doctoral advisor | Emanuel Parzen |
| Doctoral students |
Douglas Nychka Yuedong Wang Wing-Hung Wong |
Grace Wahba (born August 3, 1934) is the I. J. Schoenberg Professor of Statistics at the University of Wisconsin–Madison. She is a pioneer in methods for smoothing noisy data. Best known for the development of generalized cross-validation and "Wahba's problem", she has developed methods with applications in demographic studies, machine learning, DNA microarrays, risk modeling, medical imaging, and climate prediction.
She was educated at Cornell (B.A. 1956), University of Maryland, College Park (M.A. 1962) and Stanford (Ph.D. 1966), and worked in industry for several years before receiving her doctorate in 1966 and settling in Madison in 1967. She is the author of Spline Models for Observational Data. She was elected to the United States National Academy of Sciences in 2000 and received an honorary degree of Doctor of Science from the University of Chicago in 2007.
External links
- Grace Wahba at the Mathematics Genealogy Project
- Grace Wahba's University of Wisconsin website Home page
- Spline Models for Observational Data book
|