Algorithmic High-Dimensional Robust Statistics - Daniel M. Kane,Ilias Diakonikolas
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"This reference text offers a clear unified treatment for graduate students, academic researchers, and professionals interested in understanding and developing statistical procedures for high-dimensional data that are robust to idealized modeling assumptions, including robustness to model misspecification and to adversarial outliers in the dataset"--
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"This reference text offers a clear unified treatment for graduate students, academic researchers, and professionals interested in understanding and developing statistical procedures for high-dimensional data that are robust to idealized modeling assumptions, including robustness to model misspecification and to adversarial outliers in the dataset"--
More Information
| Author | Daniel M. Kane, Ilias Diakonikolas |
|---|---|
| Publisher | Cambridge University Press |
| Release year | 2023 |
| Cover type | Hardcover |
| EAN | 9781108837811 |