Multivariate functional data present theoretical and practical complications which are not found in univariate functional data. One of these is a situation where the component functions of multivariate functional data are positive and are subject to …
Delay differential equations form the underpinning of many complex dynamical systems. The forward problem of solving random differential equations with delay has received increasing attention in recent years. Motivated by the challenge to predict the …
Various biological testing methods have been utilized to identify passive transfer of immunoglobulins in neonates of non-domestic Caprinae species, but their diagnostic value is poorly understood. This retrospective study evaluated whether five …
Multivariate functional data are becoming ubiquitous with the advance of modern technology. Multivariate functional data are substantially more complex than univariate functional data. In particular, we study a novel model for multivariate functional …
We apply tools from functional data analysis to model cumulative trajectories of COVID-19 cases across countries, establishing a framework for quantifying and comparing cases and deaths across countries longitudinally. It emerges that a country’s …
Mount Everest is an extreme environment for humans. Nevertheless, hundreds of mountaineers attempt to summit Everest each year. In a previous study, we analyzed how probabilities of summiting and of dying on Everest related to a climber’s sex, age, …
The adoption of knowledge-based dose-volume histogram (DVH) prediction models for assessing organ-at-risk (OAR) sparing in radiotherapy necessitates quantification of prediction accuracy and uncertainty. Moreover, DVH prediction error bands should be …