تقرير
Nonparametric covariance estimation for mixed longitudinal studies, with applications in midlife women's health
| العنوان: | Nonparametric covariance estimation for mixed longitudinal studies, with applications in midlife women's health |
|---|---|
| المؤلفون: | Zhang, Anru R., Chen, Kehui |
| سنة النشر: | 2017 |
| المجموعة: | Mathematics Statistics |
| مصطلحات موضوعية: | Statistics - Methodology, Mathematics - Statistics Theory, Statistics - Applications, Statistics - Computation |
| الوصف: | In mixed longitudinal studies, a group of subjects enter the study at different ages (cross-sectional) and are followed for successive years (longitudinal). In the context of such studies, we consider nonparametric covariance estimation with samples of noisy and partially observed functional trajectories. The proposed algorithm is based on a noniterative sequential-aggregation scheme with only basic matrix operations and closed-form solutions in each step. The good performance of the proposed method is supported by both theory and numerical experiments. We also apply the proposed procedure to a study on the working memory of midlife women, based on data from the Study of Women's Health Across the Nation (SWAN). |
| نوع الوثيقة: | Working Paper |
| الوصول الحر: | http://arxiv.org/abs/1711.00101Test |
| رقم الانضمام: | edsarx.1711.00101 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |