PDF High-Dimensional Probability: An Introduction with Applications in Data Science: 47 (Cambridge Series in Statistical and Probabilistic Mathematics)
Description High-Dimensional Probability: An Introduction with Applications in Data Science: 47 (Cambridge Series in Statistical and Probabilistic Mathematics)
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.
High-Dimensional Probability: An Introduction with Applications in Data Science: 47 (Cambridge Series in Statistical and Probabilistic Mathematics) PDF ePub
High-Dimensional Probability - UCI Mathematics ~ data scientist. This book can be used as a textbook for a basic second course in probability with a view toward data science applications. It is also suitable for self-study. What is this book about? High-dimensional probability is an area of probability theory that studies random objects in Rn where the dimension ncan be very large. This book .
High-Dimensional Probability - Cambridge Core ~ It is fundamental to high-dimensional statistics, machine learning and data science. In this book, Roman Vershynin, who is a leading researcher in high-dimensional probability and a master of exposition, provides the basic tools and some of the main results and applications of high-dimensional probability.
High-Dimensional Probability: An Introduction with ~ High-Dimensional Probability: An Introduction with Applications in Data Science (Cambridge Series in Statistical and Probabilistic Mathematics Book 47) - Kindle edition by Vershynin, Roman. Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading High-Dimensional Probability: An Introduction with .
: High-Dimensional Probability (An Introduction ~ It is fundamental to high-dimensional statistics, machine learning and data science. In this book, Roman Vershynin, who is a leading researcher in high-dimensional probability and a master of exposition, provides the basic tools and some of the main results and applications of high-dimensional probability.
High-Dimensional Probability - Book Depository ~ In this book, Roman Vershynin, who is a leading researcher in high-dimensional probability and a master of exposition, provides the basic tools and some of the main results and applications of high-dimensional probability. This book is an excellent textbook for a graduate course that will be appreciated by mathematics, statistics, computer .
Book: High-Dimensional Probability An Introduction with ~ Book: High-Dimensional Probability An Introduction with Applications in Data Science by Roman Vershynin Found in the comment section of Terry's blog : Roman Vershynin is writing a book titled: High-Dimensional Probability An Introduction with Applications in Data Science (University of California, Irvine March 25, 2019)
Statistical Science - Project EUCLID Mathematics and ~ High-Dimensional Probability: An Introduction with Applications in Data Science. Cambridge Series in Statistical and Probabilistic Mathematics 47. Cambridge Univ. Press, Cambridge. Zentralblatt MATH: 1430.60005.
High-Dimensional Probability - UCI Mathematics ~ I am Professor of Mathematics at the University of California, Irvine working in high-dimensional probability theory and its applications. I study probabilistic structures that appear across mathematics and data sciences, in particular random matrix theory, geometric functional analysis, convex and discrete geometry, high-dimensional statistics, information theory, learning theory, signal .
Cambridge Series in Statistical and Probabilistic Mathematics ~ Cambridge Series in Statistical and Probabilistic Mathematics Download list of titles. . Cambridge Series in Statistical and Probabilistic Mathematics (51) Collections: Show more. . It is the first to integrate theory, key tools, and modern applications of high-dimensional probability.
High-Dimensional Statistics - Cambridge Core ~ 'Statistical theory and practice have undergone a renaissance in the past two decades, with intensive study of high-dimensional data analysis. No researcher has deepened our understanding of high-dimensional statistics more than Martin Wainwright. This book brings the signature clarity and incisiveness of his published research into book form.
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Large Sample Covariance Matrices and High-Dimensional Data ~ High-dimensional data appear in many fields, and their analysis has become increasingly important in modern statistics. However, it has long been observed that several well-known methods in multivariate analysis become inefficient, or even misleading, when the data dimension p is larger than, say, several tens.
High-Dimensional Probability: An Introduction with ~ 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,.
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