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Asymptotic theory for maximum likelihood estimates in reduced-rank multivariate generalized linear models
Reduced-rank regression is a dimensionality reduction method with many applications. The asymptotic theory for reduced rank estimators of parameter matrices in multivariate linear models has been studied extensively. In contrast, few theoretical results are available for reduced-rank multivariate ge...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Taylor & Francis
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6101205/ https://www.ncbi.nlm.nih.gov/pubmed/30174379 http://dx.doi.org/10.1080/02331888.2018.1467420 |