Algorithmic High-Dimensional Robust Statistics
Kane Daniel M. (University of California San Diego)
9781108837811
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| Author(s) :- Kane Daniel M. (University of California San Diego) | Format :- Hardback |
| Publisher :- Cambridge University Press | Pub. Date :- 2023-09-07 |
| ISBN-13 :- 9781108837811 | |
| Pagination :- 300 pages, Worked examples or Exercises | |
| Dimensions :- 160 x 237 x 24 | |
| Weight :- 624 |
Description
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.
