MARC details
000 -LEADER |
fixed length control field |
02897nam a22003858i 4500 |
001 - CONTROL NUMBER |
control field |
CR9781108231596 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
UkCbUP |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20240910160554.0 |
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS |
fixed length control field |
m|||||o||d|||||||| |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
fixed length control field |
cr|||||||||||| |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
161122s2018||||enk o ||1 0|eng|d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781108231596 (ebook) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
Canceled/invalid ISBN |
9781108415194 (hardback) |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
UkCbUP |
Language of cataloging |
eng |
Description conventions |
rda |
Transcribing agency |
UkCbUP |
050 00 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
QA273 |
Item number |
.V4485 2018 |
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
519.2 |
Edition number |
23 |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Vershynin, Roman, |
Dates associated with a name |
1974- |
Relator term |
author. |
245 10 - TITLE STATEMENT |
Title |
High-dimensional probability : |
Remainder of title |
an introduction with applications in data science / |
Statement of responsibility, etc. |
Roman Vershynin. |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
Place of production, publication, distribution, manufacture |
Cambridge : |
Name of producer, publisher, distributor, manufacturer |
Cambridge University Press, |
Date of production, publication, distribution, manufacture, or copyright notice |
2018. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
1 online resource (xiv, 284 pages) : |
Other physical details |
digital, PDF file(s). |
336 ## - CONTENT TYPE |
Content type term |
text |
Content type code |
txt |
Source |
rdacontent |
337 ## - MEDIA TYPE |
Media type term |
computer |
Media type code |
c |
Source |
rdamedia |
338 ## - CARRIER TYPE |
Carrier type term |
online resource |
Carrier type code |
cr |
Source |
rdacarrier |
490 1# - SERIES STATEMENT |
Series statement |
Cambridge series in statistical and probabilistic mathematics ; |
Volume/sequential designation |
47 |
500 ## - GENERAL NOTE |
General note |
Title from publisher's bibliographic system (viewed on 28 Sep 2018). |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
Preliminaries on random variables -- Concentration of sums of independent random variables -- Random vectors in high dimensions -- Random matrices -- Concentration without independence -- Quadratic forms, symmetrization and contraction -- Random processes -- Chaining -- Deviations of random matrices and geometric consequences -- Sparse recovery -- Dvoretzky-Milman's theorem. |
520 ## - SUMMARY, ETC. |
Summary, etc. |
High-dimensional probability offers insight into the behavior of random vectors, random matrices, random subspaces, and objects used to quantify uncertainty in high dimensions. Drawing on ideas from probability, analysis, and geometry, it lends itself to applications in mathematics, statistics, theoretical computer science, signal processing, optimization, and more. It is the first to integrate theory, key tools, and modern applications of high-dimensional probability. Concentration inequalities form the core, and it covers both classical results such as Hoeffding's and Chernoff's inequalities and modern developments such as the matrix Bernstein's inequality. It then introduces the powerful methods based on stochastic processes, including such tools as Slepian's, Sudakov's, and Dudley's inequalities, as well as generic chaining and bounds based on VC dimension. A broad range of illustrations is embedded throughout, including classical and modern results for covariance estimation, clustering, networks, semidefinite programming, coding, dimension reduction, matrix completion, machine learning, compressed sensing, and sparse regression. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Probabilities. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Stochastic processes. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Random variables. |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
Relationship information |
Print version: |
International Standard Book Number |
9781108415194 |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
Uniform title |
Cambridge series in statistical and probabilistic mathematics ; |
Volume/sequential designation |
47. |
856 40 - ELECTRONIC LOCATION AND ACCESS |
Uniform Resource Identifier |
<a href="https://doi.org/10.1017/9781108231596">https://doi.org/10.1017/9781108231596</a> |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Dewey Decimal Classification |
Koha item type |
eBooks |