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