Random Matrices and Applications
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Scope of this subject
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.
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Research vocabulary
random matrix theory; random matrices; eigenvalue distribution; free probability; eigenvalue statistics; determinantal point processes; sample covariance matrix; Gaussian unitary ensemble; largest eigenvalue; random matrix ensembles; Tracy-Widom distribution; Hermitian random matrices; Wigner matrices; non-Hermitian random matrices; Wishart matrices; Wishart distribution; limiting spectral distribution; empirical spectral distribution; beta ensembles; semicircle law; Wigner semicircle law; Gaussian orthogonal ensemble; Stieltjes transform; large random matrices; eigenvalue density
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Local answer status
No owner-reviewed answer has been published for this exact subject page. This is a gap in this collection; it does not establish that the answer is unavailable elsewhere.
Numeric address and provenance
Morton address: 36249010868464693 · morton4x16-v1
Coordinates: (3, 26, 2613, 11716). The address interleaves categorical identifier bits. Nearby addresses are not guaranteed to describe semantically similar subjects.
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