Multivariate Statistics: Classical Foundations and ModernMachine Learning - Hemant Ishwaran
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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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Aprašymas
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.
Daugiau informacijos
| Autorius | Hemant Ishwaran |
|---|---|
| Leidėjas | Taylor & Francis Ltd |
| Išleidimo metai | 2025 |
| Viršelio tipas | Kieti viršeliai |
| EAN | 9781032758794 |