Semialgebraic statistics and latent tree models
The first part of the book gives a general introduction to key concepts in algebraic statistics, focusing on methods that are helpful in the study of models with hidden variables. The author uses tensor geometry as a natural language to deal with multivariate probability distributions, develops new...
| Otros Autores: | |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Boca Raton :
CRC Press
[2016]
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| Edición: | 1st edition |
| Colección: | Monographs on statistics and applied probability (Series) ;
146. |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630049606719 |
Tabla de Contenidos:
- 1. Semialgebraic statistics
- 2. Latent tree graphical models.
