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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Description
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.
More Information
| Author | Hemant Ishwaran |
|---|---|
| Publisher | Taylor & Francis Ltd |
| Release year | 2025 |
| Cover type | Hardcover |
| EAN | 9781032758794 |