High-Dimensional Covariance Matrix Estimation

An Introduction to Random Matrix Theory

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.
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Writer
Zagidullina, Aygul
Title
High-Dimensional Covariance Matrix Estimation
Publisher
Springer Nature Switzerland AG
Year
2021
Language
English
Pages
115
Weight
210 gr
EAN
9783030800642
Dimensions
233 x 155 x 10 mm
Binding format
Paperback / softback

You will always receive the last edition from us!


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Boekstra