Random Matrices and Applications -- 专题文献

专题：Random Matrices and Applications

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.

专题：Random Matrices and Applications

最新文献

Spectrum-aware debiasing: A modern inference framework with applications to principal components regression

Integrability enabled computations relating to the fixed trace Laguerre ensemble *

Nonparametric two-sample hypothesis testing for low-rank random graphs of differing sizes

On moments of the derivative of CUE characteristic polynomials and the Riemann zeta function

Optimality of approximate message passing for spiked matrix models with rotationally invariant noise

A computational transition for detecting correlated stochastic block models by low-degree polynomials

𝑞-Deformed Gaussian unitary ensemble: Spectral moments and genus-type expansions

Extremal eigenvectors of sparse random matrices

Spectral Alignment of Kernel Matrices and Applications

Statistical inference for large-dimensional tensor factor model by iterative projections

近5年高被引文献