High-Dimensional Probability: An Introduction with Applications in Data Science - Hardcover
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High-Dimensional Probability: An Introduction with Applications in Data Science
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Availability:Out of StockContributor:Roman VershyninSeries:Cambridge Statistical and Probabilistic Mathematics #47Publish date:2018-09-27Pages:296
Language:EnglishPublisher:Cambridge University PressISBN-13:9781108415194ISBN-10:1108415199UPC:9781108415194Book Category:MathematicsBook Subcategory:Probability & StatisticsSize:10.30 x 7.38 x 0.90 inchesWeight:0.708Product ID:SCMVTQ85DT
High-Dimensional Probability: An Introduction with Applications in Data Science
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...
Series: Cambridge Statistical and Probabilistic Mathematics #47
Language:EnglishPublisher:Cambridge University PressISBN-13:9781108415194ISBN-10:1108415199UPC:9781108415194Book Category:MathematicsBook Subcategory:Probability & StatisticsSize:10.30 x 7.38 x 0.90 inchesWeight:0.708Product ID:SCMVTQ85DT
Vershynin, Roman: - Roman Vershynin is Professor of Mathematics at the University of California, Irvine. He studies random geometric structures across mathematics and data sciences, in particular in random matrix theory, geometric functional analysis, convex and discrete geometry, geometric combinatorics, high-dimensional statistics, information theory, machine learning, signal processing, and...
Publisher: Cambridge University Press
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