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 assumptio
DIAKONIKOLAS, ILIAS (UNIVERSITY OF WISCONSIN-MADISON),KANE, DANIEL M. (UNIVERSITY OF CALIFORNIA, SAN DIEGO)
Algorithmic High-Dimensional Robust Statistics
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 assumptio
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9781108837811Mladinska knjiga ID
9781108837811Leto izida
2023Datum izida
07.09.2023Število strani
300Status dobavljivosti
7-10 delovnih dniZaložnik
Cambridge University PressAvtor
Diakonikolas, Ilias (University of Wisconsin-Madison),Kane, Daniel M. (University of California, San Diego)Dimenzije
160 x 237 x 24BIC
UYQPOpis
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.Pogosto kupljeno skupaj
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