Multivariate Statistics: Classical Foundations and ModernMachine Learning - Hemant Ishwaran
-25% koodilla BOOKS
Toimitus 17-23 arkipäivässä
30 päivän palautusoikeus
This book explores multivariate statistics from traditional and modern perspectives. It covers core topics like multivariate normality, MANOVA, and canonical correlation analysis, as well as modern concepts such as gradient boosting, random forests, variable importance, and causal inference.
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Kuvaus
This book explores multivariate statistics from traditional and modern perspectives. It covers core topics like multivariate normality, MANOVA, and canonical correlation analysis, as well as modern concepts such as gradient boosting, random forests, variable importance, and causal inference.
Lisätietoja
| Kirjoittaja | Hemant Ishwaran |
|---|---|
| Julkaisija | Taylor & Francis Ltd |
| Julkaisuvuosi | 2025 |
| Kannen tyyppi | Kovakantinen |
| EAN | 9781032758794 |