High-Dimensional Covariance Matrix Estimation
Zagidullina Aygul
9783030800642
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| Author(s) :- Zagidullina Aygul | Format :- Paperback |
| Publisher :- Springer Nature Switzerland AG | Pub. Date :- 2021-10-30 |
| ISBN-13 :- 9783030800642 | |
| Series:- SpringerBriefs in Applied Statistics and Econometrics | |
| Edition:- 1st ed. 2021 | |
| Pagination :- 115 pages, 26 Illustrations, color | |
| Dimensions :- 233 x 155 x 10 | |
| Weight :- 210 |
Description
It draws attention to the deficiencies of standard statistical tools when used in the high-dimensional setting, and introduces the basic concepts and major results related to spectral statistics and random matrix theory under high-dimensional asymptotics in an understandable and reader-friendly way.
