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Large Covariance and Autocovariance Matrices

in post-graduate courses on high-dimensional statistical inference, high-dimensional random matrices and high-dimensional time series models. It;

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Large Covariance and Autocovariance Matrices

in post-graduate courses on high-dimensional statistical inference, high-dimensional random matrices and high-dimensional time series models. It;

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Random Matrices: High Dimensional Phenomena

This book focuses on the behaviour of large random matrices. Standard results are covered, and the presentation emphasizes elementary;

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Modern Aspects of Random Matrix Theory

matrices and free probability, numerical algebra, combinatorics and high-dimensional geometry, together with several novel methods and a variety;

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Spectral Theory Of Large Dimensional Random Matrices And Its Applications To Wireless Communications And Finance Statistics

The book contains three parts: Spectral theory of large dimensional random matrices; Applications to wireless communications; and;

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Random Matrices and Non-Commutative Probability

This is an introductory book on Non-Commutative Probability or Free Probability and Large Dimensional Random Matrices. Basic concepts;

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High-Dimensional Probability

High-dimensional probability offers insight into the behavior of random vectors, random matrices, random subspaces, and objects used to;

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Recent Developments in Multivariate and Random Matrix Analysis

papers. The contents of the papers evolve around multivariate analysis and random matrices with topics such as high-dimensional analysis;

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Patterned Random Matrices

in high-dimensional random matrices for the last fifteen years. He has been the Editor of Sankyha for several years and has been on the editorial;

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Patterned Random Matrices

in high-dimensional random matrices for the last fifteen years. He has been the Editor of Sankyha for several years and has been on the editorial;

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Stochastic Processes and Random Matrices: Lecture Notes of the Les Houches Summer School

mechanics and the theory of random matrices, namely the fluctuations of the largest eigenvalue of certain ensembles of random matrices. This;

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Spectral Analysis of Large Dimensional Random Matrices

dimensional random matrices. The core of the book focuses on results established under moment conditions on random variables using probabilistic;

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High-Dimensional Covariance Estimation

environmental and physical sciences. High-Dimensional Covariance Estimation provides accessible and comprehensive coverage of the classical and modern;

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High-Dimensional Covariance Matrix Estimation

setting, and introduces the basic concepts and major results related to spectral statistics and random matrix theory under high-dimensional;

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Theory and Applications of Higher-Dimensional Hadamard Matrices, Second Edition

-Dimensional Hadamard Matrices, Second Edition explores the applications and dimensions of Hadamard matrices. This edition contains a new section on;

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Theory and Applications of Higher-Dimensional Hadamard Matrices, Second Edition

-Dimensional Hadamard Matrices, Second Edition explores the applications and dimensions of Hadamard matrices. This edition contains a new section on;

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Ranks of Elliptic Curves and Random Matrix Theory

interplay of number theory and random matrices. It begins with an introduction to elliptic curves and the fundamentals of modelling by a family;

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Shrinkage Estimation for Mean and Covariance Matrices

, it presents recent techniques and results in estimation of mean and covariance matrices with a high-dimensional setting that implies;

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Noncommutative Probability and Random Matrices at Saint Flour

Biane, Philippe: Non-commutative stochastic calculus.-Voiculescu, Dan-Virgil: Lectures on free probability.- Guionnet, Alice: Large random;

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The Random Matrix Theory of the Classical Compact Groups

spectral measures; concentration of measure with applications both within random matrix theory and in high dimensional geometry; and results on;

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High-Dimensional Statistics

introduction to the area of high-dimensional statistics, aimed at the first-year graduate level. It includes chapters that are focused on core;

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Linear Algebra for Pattern Processing

. Such pattern information processing deals with a large amount of data, which are represented by high-dimensional vectors and matrices. There;

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Asymptotics of Random Matrices and Related Models

of random matrices or the tiles in random tilings. Classical tools of probability theory are useless to study such models. These lecture notes;

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Random Matrices And Random Partitions

This book is aimed at graduate students and researchers who are interested in the probability limit theory of random matrices and random;

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Traffic Distributions and Independence

Voiculescu's notion of asymptotic free independence is known for a large class of random matrices including independent unitary invariant;

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Random Tensors

resounding success of random matrices as theories of random two dimensional surfaces, random tensors are their natural generalization to theories;

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Asymptotic Expansion of a Partition Function Related to the Sinh-model

This book elaborates on the asymptotic behaviour, when N is large, of certain N-dimensional integrals which typically occur in random;

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