Grace Wahba

Grace Wahba
Emerita Professor of Statistics, Biostatistics and Medical Informatics, and Computer Science at University of Wisconsin-Madison. Ph.D. - Stanford.

Professor Wahba has recommended books in the following categories:

🟡 Statistics

Grace Wahba (born August 3, 1934) is a now-retired I. J. Schoenberg-Hilldale 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. She retired in August 2018.


Selected Awards

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