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High-dimensional covariance estimation /

Pourahmadi, Mohsen.

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High-dimensional covariance estimation /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	High-dimensional covariance estimation // Mohsen Pourahmadi.
Author:	Pourahmadi, Mohsen.
Published:	Hoboken, New Jersey :Wiley, : 2013.,
Description:	x, 184 p. :ill. ;25 cm.
Subject:	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 /
LDR:01585cam a2200265 a 4500 001 1915594
008 140428s2013 njua b 001 0 eng
010 $a 2013000326
020 $a 9781118034293 (hbk.) : $c US89.95
020 $a 1118034295 (hbk.)
020 $a 9781118573617 (ebk.)
020 $a 1118573617 (ebk.)
020 $a 9781118573655 (ebk.)
020 $a 111857365X (ebk.)
020 $a 9781118573662 (ebk.)
020 $a 1118573668 (ebk.)
035 $a AS-BW-103-N-01
040 $a DLC $b eng
050 0 0 $a QA279 $b .P68 2013
082 0 0 $a 519.5/38 $2 23
100 1 $a Pourahmadi, Mohsen. $3 731307
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