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High-dimensional covariance estimation /

Pourahmadi, Mohsen.

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High-dimensional covariance estimation /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	High-dimensional covariance estimation // Mohsen Pourahmadi.
作者:	Pourahmadi, Mohsen.
出版者:	Hoboken, New Jersey :Wiley, : 2013.,
面頁冊數:	x, 184 p. :ill. ;25 cm.
標題:	Analysis of covariance. -
ISBN:	9781118034293 (hbk.) :

High-dimensional covariance estimation /
Pourahmadi, Mohsen.

High-dimensional covariance estimation /Mohsen Pourahmadi. - Hoboken, New Jersey :Wiley,2013. - x, 184 p. :ill. ;25 cm.

Includes bibliographical references (p. 171-179) and index.

"Focusing on methodology and computation more than on theorems and proofs, this book provides computationally feasible and statistically efficient methods for estimating sparse and large covariance matrices of high-dimensional data. Extensive in breadth and scope, it features ample applications to a number of applied areas, including business and economics, computer science, engineering, and financial mathematics; recognizes the important and significant contributions of longitudinal and spatial data; and includes various computer codes in R throughout the text and on an author-maintained web site".

ISBN: 9781118034293 (hbk.) :US89.95

LCCN: 2013000326Subjects--Topical Terms:

597399
Analysis of covariance.

LC Class. No.: QA279 / .P68 2013

Dewey Class. No.: 519.5/38

High-dimensional covariance estimation /
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245 1 0 $a High-dimensional covariance estimation / $c Mohsen Pourahmadi.
260 # $a Hoboken, New Jersey : $b Wiley, $c 2013.
300 $a x, 184 p. : $b ill. ; $c 25 cm.
504 $a Includes bibliographical references (p. 171-179) and index.
520 # $a "Focusing on methodology and computation more than on theorems and proofs, this book provides computationally feasible and statistically efficient methods for estimating sparse and large covariance matrices of high-dimensional data. Extensive in breadth and scope, it features ample applications to a number of applied areas, including business and economics, computer science, engineering, and financial mathematics; recognizes the important and significant contributions of longitudinal and spatial data; and includes various computer codes in R throughout the text and on an author-maintained web site".
520 # $a "The aim of this book is to provide computationally feasible and statistically efficient methods for estimating sparse and large covariance matrices of high-dimensional data".
650 # 0 $a Analysis of covariance. $3 597399
650 # 0 $a Multivariate analysis. $3 517467