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Some of the material in is restricted to members of the community. By logging in, you may be able to gain additional access to certain collections or items. If you have questions about access or logging in, please use the form on the Contact Page.
The goal of this dissertation is to improve the predictive performance of a Bayesian hierarchicalstatistical model by incorporating an estimate of the expected out-of-sample error and extending this method for big data. In Chapter 2, we...
In many biomedical studies, multiple sourced data with varied features are observed on the same subjects. Examples include longitudinal markers measured along with a time-to-event outcome of interest and multiset data with varied...
Tukey's depth offers a powerful tool for nonparametric inference and estimation but also encounters serious computational and methodological difficulties in modern statistical data analysis. This article studies how to generalize Tukey's...
Adaptively incorporating historical information into analyses of current data can improve the precision of inference without requiring additional new observation. Unfortunately, not all borrowing methods are suitable when limited...
Some of the material in is restricted to members of the community. By logging in, you may be able to gain additional access to certain collections or items. If you have questions about access or logging in, please use the form on the Contact Page.
