This cluster of papers covers the topic of Random Matrix Theory and its applications in various fields such as eigenvalues, covariance matrices, universality, spectral statistics, large dimensional data, spiked population models, principal component analysis, determinantal processes, and growth processes.
Random Matrix Theory; Eigenvalues; Covariance Matrices; Universality; Spectral Statistics; Large Dimensional Data; Spiked Population Models; Principal Component Analysis; Determinantal Processes; Growth Processes