Separability tests for high-dimensional, low sample size multivariate repeated measures data
Longitudinal imaging studies have moved to the forefront of medical research due to their ability to characterize spatio-temporal features of biological structures across the lifespan. Valid inference in longitudinal imaging requires enough flexibility of the covariance model to allow reasonable fid...
| Publié dans: | Journal of applied statistics. - 1991. - 41(2014), 11 vom: 01., Seite 2450-2461 |
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| Auteur principal: | |
| Autres auteurs: | , , |
| Format: | Article |
| Langue: | English |
| Publié: |
2014
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| Accès à la collection: | Journal of applied statistics |
| Sujets: | Journal Article Kronecker product Likelihood ratio test Linear exponent autoregressive model Multivariate repeated measures Separable Covariance Spatio-temporal data |