Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6868766 | Computational Statistics & Data Analysis | 2018 | 14 Pages |
Abstract
A joint design for sampling functional data is proposed to achieve optimal prediction of both functional data and a scalar outcome. The motivating application is fetal growth, where the objective is to determine the optimal times to collect ultrasound measurements in order to recover fetal growth trajectories and to predict child birth outcomes. The joint design is formulated using an optimization criterion and implemented in a pilot study. Performance of the proposed design is evaluated via simulation study and application to fetal ultrasound data.
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
So Young Park, Luo Xiao, Jayson D. Willbur, Ana-Maria Staicu, N. L'ntshotsholé Jumbe,