{"product_id":"high-dimensional-covariance-matrix-estimation-an-introduction-to-random-matrix-theory-9783030800642","title":"High-Dimensional Covariance Matrix Estimation: An Introduction to Random Matrix Theory","description":"\u003cp\u003e • Author(s): Aygul Zagidullina\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Statistics\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThis book presents covariance matrix estimation and related aspects of random matrix theory. It focuses on the sample covariance matrix estimator and provides a holistic description of its properties under two asymptotic regimes: the traditional one, and the high-dimensional regime that better fits the big data context. 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. The aim of this book is to inspire applied statisticians, econometricians, and machine learning practitioners who analyze high-dimensional data to apply the recent developments in their work.\u003cbr\u003e\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Paperback","offer_id":45276322824343,"sku":"9783030800642","price":5087.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9783030800642.webp?v=1769285330","url":"https:\/\/atlanticbooks.com\/products\/high-dimensional-covariance-matrix-estimation-an-introduction-to-random-matrix-theory-9783030800642","provider":"Atlantic Books","version":"1.0","type":"link"}