- Grace Wahba
Grace Wahba (born
August 3 ,1934 ) is theI. J. Schoenberg Professor ofStatistics at theUniversity of Wisconsin-Madison . She is a pioneer in methods forsmoothing noisy data, where the problem is to balance a smooth fit against loss of information. Best known for theGeneralized Cross Validation Technique and "Wahba's problem", she and her students have developed methods with application indemographic studies,machine learning ,medical imaging , andclimate prediction . She was educated atCornell (B.A.1956 ),University of Maryland, College Park (M.A.1962 ) andStanford (Ph.D.1966 ), and worked in industry for several years before receiving her doctorate in 1966 and settling in Madison in1967 . She is the author of "Spline Models for Observational Data", [http://www.siam.org/books/ SIAM] , 1990. She waselected to the National Academy of Sciences in 2000 and received an honorary Degree of Doctor of Science from the University of Chicago in 2007.Her work has influenced applied science in the areas of
risk modeling ,magnetic resonance imaging ,meteorology ,DNA microarrays , and satellite imaging.External links
* [http://www.stat.wisc.edu/~wahba/ Grace Wahba's University of Wisconsin website Home page]
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