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Asymptotics of Random Matrices and Related Models

this strategy in different settings: eigenvalues of random matrices, matrix models with one or several cuts, random tilings, and several;

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Random Matrices, Random Processes and Integrable Systems

the spectrum in random matrix ensembles, and may also be studied by related methods. Random Matrices, Random Processes and Integrable Systems;

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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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Bounds and Asymptotics for Orthogonal Polynomials for Varying Weights

limits and entropy integrals. Orthogonal polynomials associated with varying weights play a key role in analyzing random matrices and other;

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

an expansion of correlation functions and the one of the partition function. This book is addressed to researchers working in random matrices;

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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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Large Covariance and Autocovariance Matrices

-dimensional time series), mathematics (random matrices and free probability) and computer science (wireless communication). Parts of it can be used;

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Large Covariance and Autocovariance Matrices

-dimensional time series), mathematics (random matrices and free probability) and computer science (wireless communication). Parts of it can be used;

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Orthogonal Polynomials and Random Matrices

This volume expands on a set of lectures held at the Courant Institute on Riemann-Hilbert problems, orthogonal polynomials, and random;

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Log-Gases and Random Matrices (LMS-34)

such as beta ensembles and Jack polynomials. Peter Forrester presents an encyclopedic development of log-gases and random matrices viewed as;

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Compressed Sensing in Li-Fi and Wi-Fi Networks

-asymptotic analysis of random matrices, adaptive detection, greedy algorithms, and the use of graphical models.;

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Recent Advances in Inverse Scattering, Schur Analysis and Stochastic Processes

, moment problems, random matrices and linear stochastic systems.;

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Recent Advances in Inverse Scattering, Schur Analysis and Stochastic Processes

, moment problems, random matrices and linear stochastic systems.;

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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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Modern Aspects of Random Matrix Theory

The theory of random matrices is an amazingly rich topic in mathematics. Random matrices play a fundamental role in various areas such as;

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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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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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Random Matrix Models and their Applications

Random matrices arise from, and have important applications to, number theory, probability, combinatorics, representation theory, quantum;

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Traffic Distributions and Independence

for random matrices and then defines the traffic distribution of random matrices, which is richer than the $^*$-distribution of free;

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A First Course in Random Matrix Theory

of Big Data and the required computing power to analyse them have rendered classical tools outdated and insufficient. Tools such as random matrix;

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Quantitative Stochastic Homogenization and Large-Scale Regularity

, which is closely related to the long-time asymptotics of reversible diffusions in random media and other basic models of statistical physics;

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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 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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High-Dimensional Covariance Matrix Estimation

This book presents covariance matrix estimation and related aspects of random matrix theory. It focuses on the sample covariance matrix;

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Patterned Random Matrices

Large dimensional random matrices (LDRM) with specific patterns arise in econometrics, computer science, mathematics, physics, and;

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Patterned Random Matrices

Large dimensional random matrices (LDRM) with specific patterns arise in econometrics, computer science, mathematics, physics, and;

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Free Probability and Random Matrices

relation of free probability to random matrices, but also touches upon the operator algebraic, combinatorial, and analytic aspects of the theory;

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