Titolo: High-Dimensional Probability: An Introduction with Applications in Data Science (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 47)
Editore: Cambridge University Press
Data di pubblicazione: 2018
Lingua: Inglese
ISBN 10: 1108415199
ISBN 13: 9781108415194
Rilegatura: Rilegato
Condizione: New

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Riassunto

An integrated package of powerful probabilistic tools and key applications in modern mathematical data science.

Informazioni sull?autore

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 numerical analysis. His honors include an Alfred Sloan Research Fellowship in 2005, an invited talk at the International Congress of Mathematicians in Hyderabad in 2010, and a Bessel Research Award from the Humboldt Foundation in 2013. His 'Introduction to the Non-Asymptotic Analysis of Random Matrices' has become a popular educational resource for many new researchers in probability and data science.

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