Multivariate function estimation, statistical model building and machine learning, with emphasis on statistical theory and the development of efficient numerical and statistical methods for large and extremely large data sets.
Identification and flexible quantification of risk factors in large medical, demographic and other data sets. Methods for models with complex structure, incomplete or noisy covariates, heterogenous information combining pedigree structure/ (diss)imilarity data, genetic information, images, clusters, networks, trees.
Multiple correlated attributes and multiple correlated responses. Reproducing kernel Hilbert space and other penalized likelihood and regularization methods, tuning issues.
Selected Publications
Please see Dr. Wahba's Statistics homepage for an up-to-date list of publications.
