Random Matrices and Applications

Random Matrices and Applications is a research topic within Statistics and Probability. Science Explorer counts 10k research works in it since 1950. 10.0% of them reached the world's top 10% most cited for their field and year.

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