Random matrices.

Random matrix theory : = invariant ensembles and universality / by: (Language materials, printed)

An introduction to random matrices / by: (Language materials, printed)

Random matrices : = high dimensional phenomena / by: (Language materials, printed)

Log-gases and random matrices / by: (Language materials, printed)

Probability measures on semigroups = convolution products, random walks and random matrices / by: (Electronic resources)

Eigenvalue distribution of large random matrices / by: (Language materials, printed)

Random matrix theory with an external source by: (Electronic resources)

The random matrix theory of the classical compact groups / by: (Language materials, printed)

An introduction to random matrices by: (Electronic resources)

The random matrix theory of the classical compact groups by: (Electronic resources)

Random matrices and non-commutative probability by: (Electronic resources)

Random matrix theory and wireless communications by: (Language materials, printed)

Large random matrices : = lectures on macroscopic asymptotics : Ecole d'Ete de probabilites de Saint-Flour XXXVI--2006 / by: (Language materials, printed)

Seminaire de probabilites XXXVII by: (Language materials, printed)

Spectral analysis of large dimensional random matrices by: (Language materials, printed)

Embedded random matrix ensembles in quantum physics by: (Electronic resources)

Random matrix theory, interacting particle systems, and integrable systems / by: (Language materials, printed)

Random matrices and random partitions normal convergence by: (Electronic resources)

Advanced techniques in applied mathematics by: (Electronic resources)

Introduction to random matrices = theory and practice / by: (Electronic resources)

High-dimensional covariance matrix estimation = an introduction to random matrix theory / by: (Electronic resources)

Toeplitz operators and random matrices = in memory of Harold Widom / by: (Electronic resources)

A first course in random matrix theory : = for physicists, engineers and data scientists / by: (Language materials, printed)