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Roman Vershynin High-Dimension al Probability (Hardback) (US IMPORT)
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Item specifics
- Condition
- Book Title
- High-Dimensional Probability
- EAN
- 9781108415194
- Country/Region of Manufacture
- GB
- ISBN
- 9781108415194
- Genre
- Computing & Internet
- Title
- High-Dimensional Probability
- Subtitle
- An Introduction with Applications in Data Science
- Release Date
- 27/09/2018
- Release Year
- 2018
- Item Length
- 183mm
- Topic
- Science Nature & Math
- Subject Area
- Data Analysis
- Publication Name
- High-Dimensional Probability: an Introduction with Applications in Data Science
- Publisher
- Cambridge University Press
- Subject
- Economics, Computer Science, Mathematics
- Publication Year
- 2018
- Series
- Cambridge Series in Statistical and Probabilistic Mathematics
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Item Height
- 260 mm
- Item Weight
- 710 g
- Item Width
- 183 mm
- Number of Pages
- 296 Pages
About this product
Product Information
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.
Product Identifiers
Publisher
Cambridge University Press
ISBN-13
9781108415194
eBay Product ID (ePID)
5046661720
Product Key Features
Number of Pages
296 Pages
Language
English
Publication Name
High-Dimensional Probability: an Introduction with Applications in Data Science
Publication Year
2018
Subject
Economics, Computer Science, Mathematics
Type
Textbook
Subject Area
Data Analysis
Series
Cambridge Series in Statistical and Probabilistic Mathematics
Format
Hardcover
Dimensions
Item Height
260 mm
Item Weight
710 g
Item Width
183 mm
Additional Product Features
Country/Region of Manufacture
United Kingdom
Item description from the seller
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