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This book focuses on the behaviour of large random matrices. Standard results are covered, and the presentation emphasizes elementary operator theory and differ
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High-dimensional probability offers insight into the behavior of random vectors, random matrices, random subspaces, and objects used to quantify uncertainty in
A Dynamical Approach to Random Matrix Theory
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A co-publication of the AMS and the Courant Institute of Mathematical Sciences at New York University This book is a concise and self-contained introduction of
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This is the first book to provide a comprehensive overview of foundational results and recent progress in the study of random matrices from the classical compac
Large Sample Covariance Matrices and High-Dimensional Data Analysis
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High-dimensional data appear in many fields, and their analysis has become increasingly important in modern statistics. However, it has long been observed that