Grace Wahba

Bascom Professor of Statistics, Professor of Biostatistics and Medical Informatics, Professor of Computer Sciences
(by courtesy)

Ph.D., 1966, Stanford University

1235B Medical Science Center
Madison, WI 53706

Phone: 608-262-3620
Fax: 608-262-0032
E-mail: wahba at stat dot wisc dot edu

Grace Wahba Statistics home page

Research Interests

Multivariate function estimation and statistical model building, with emphasis on statistical theory and the development of efficient numerical and statistical methods for large and extremely large data sets. Applications in the following areas: Biostatistics: Identification and flexible quantification of risk factors in large medical and demographic data sets. Numerical Weather Prediction: New methods for ingesting direct and indirect, noisy heterogenous observational data into global scale numerical weather prediction models. Climate: New methods for analyzing multivariate global historical climate data, building statistical models, and testing hypotheses related to patterns of global change. Supervised Machine Learning: Modern multivariate methods for nonparametric regression, classification, model building and tuning, primarily based on reproducing kernel Hilbert space and related penalty methods, interpretable learning models.

Selected Publications

Please see Dr. Wahba's Statistics homepage for an up-to-date list of publications.

Courses Taught

Statistics 860 Fall 2007