High-dimensional statistics: a non-asymptotic viewpoint (Record no. 53136)

MARC details
000 -LEADER
fixed length control field 01775 a2200229 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 201020b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781108498029
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.5
Item number WAI
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Wainwright, Martin J.
245 ## - TITLE STATEMENT
Title High-dimensional statistics: a non-asymptotic viewpoint
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Cambridge University Press,
Date of publication, distribution, etc 2019.
Place of publication, distribution, etc UK:
300 ## - PHYSICAL DESCRIPTION
Extent xvii, 552 p. : ill. ;
Other physical details hb;
Dimensions 26 cm.
365 ## - TRADE PRICE
Price type code GBP
Price amount 57.99
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Cambridge series in statistical and probabilistic mathematics
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and indexes.
520 ## - SUMMARY, ETC.
Summary, etc Recent years have witnessed an explosion in the volume and variety of data collected in all scientific disciplines and industrial settings. Such massive data sets present a number of challenges to researchers in statistics and machine learning. This book provides a self-contained introduction to the area of high-dimensional statistics, aimed at the first-year graduate level. It includes chapters that are focused on core methodology and theory - including tail bounds, concentration inequalities, uniform laws and empirical process, and random matrices - as well as chapters devoted to in-depth exploration of particular model classes - including sparse linear models, matrix models with rank constraints, graphical models, and various types of non-parametric models. With hundreds of worked examples and exercises, this text is intended both for courses and for self-study by graduate students and researchers in statistics, machine learning, and related fields who must understand, apply, and adapt modern statistical methods suited to large-scale data.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematics
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematical Statistics
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Big Data
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Probabilities
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Date last borrowed Copy number Cost, replacement price Koha item type
    Dewey Decimal Classification     General IIT Gandhinagar IIT Gandhinagar General Stacks 21/10/2020 Books India 5609.95 1 519.5 WAI 029594 25/02/2021 06/01/2021 1 5609.95 Books


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