Загрузка...
Bayesian Non-Parametric Hierarchical Modeling for Multiple Membership Data in Grouped Attendance Interventions
We develop a dependent Dirichlet process (DDP) model for repeated measures multiple membership (MM) data. This data structure arises in studies under which an intervention is delivered to each client through a sequence of elements which overlap with those of other clients on different occasions. Our...
Сохранить в:
| Главные авторы: | , |
|---|---|
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2013
|
| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3833697/ https://ncbi.nlm.nih.gov/pubmed/24273629 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1214/12-AOAS620 |
| Метки: |
Добавить метку
Нет меток, Требуется 1-ая метка записи!
|