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Results for: Publications | Grace Wahba


Statistical tests and identifiability conditions for pooling and analyzing multisite datasets. Zhou HH, Singh V, Johnson SC, Wahba G, and the Alzheimer’s Disease Neuroimaging Initiative. Proceedings of the National Academy of Sciences USA, 2018.

When can multi-site datasets be pooled for regression? Hypothesis tests, L2-consistency and neuroscience applications. Zhou HH, Zhang Y, Ithapu VK, Johnson SC, Wahba G, Singh V. Proceedings of the International Conference on Machine Learning (ICML), 2017.

Hypothesis testing in unsupervised domain adaptation with applications in neuroimaging. Zhou H, Ravi S, Ithapu V, Johnson S, Wahba G, Singh V. Advances in Neural Information Processing Systems (NIPS), 2016.

Distance shrinkage and Euclidean embedding via regularized kernel estimation. Zhang L, Wahba G, Yuan M. Journal of the Royal Statistical Society B, doi:DOI: 10.1111/rssb.12138, 2016.

Backward multiple imputation estimation of the conditional lifetime expectancy function with application to censored human longevity data. Kong J, Klein BEK, Klein R, Wahba G. Proceedings of the National Academy of Sciences USA 112(39):12069–12074, 2015.