Grace Wahba
✓ Source-basedfallingAmerican statistician and university teacher (born 1934)
Grace Goldsmith Wahba is an American statistician and retired I. J. Schoenberg-Hilldale Professor of Statistics at the University of Wisconsin-Madison. She is a pioneer in methods for smoothing noisy data.
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Awards 8
Connected to Grace 6
Bradley EfronAlso won International Prize in Statistics
Leonard Jimmie SavageAlso won COPSS Distinguished Achievement Award and LectureshipHenry SchultzAlso won Fellow of the American Statistical Association
Andrew MajdaAlso won Fellow of the Society for Industrial and Applied MathematicsGreg LawlerAlso won Fellow of the Institute of Mathematical Statistics
Hendrik S. HouthakkerAlso won Fellow of the American Statistical AssociationAbout this person
Grace Goldsmith Wahba is an American statistician and 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.
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