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A mutual information criterion with applications to canonical correlation analysis and graphical models
This paper derives a criterion for deciding conditional independence that is consistent with small‐sample corrections of Akaike's information criterion but is easier to apply to such problems as selecting variables in canonical correlation analysis and selecting graphical models. The criterion...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley and Sons Inc.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8519109/ https://www.ncbi.nlm.nih.gov/pubmed/34691453 http://dx.doi.org/10.1002/sta4.385 |