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The random matrix-based informative content of correlation matrices in stock markets.

Chaos
Studying and comprehending the eigenvalue distribution of the correlation matrices of stock returns is a powerful tool to delve into the complex structure of financial markets.
Laura Molero González   +3 more
semanticscholar   +1 more source

Applications of Random Matrix Theory in Machine Learning and Brain Mapping

arXiv.org
Brain mapping analyzes the wavelengths of brain signals and outputs them in a map, which is then analyzed by a radiologist. Introducing Machine Learning (ML) into the brain mapping process reduces the variable of human error in reading such maps and ...
K. Lawrence
semanticscholar   +1 more source

Local Marchenko–Pastur Law for Sparse Rectangular Random Matrices

Doklady. Mathematics, 2021
F. Götze, D. A. Timushev, A. Tikhomirov
semanticscholar   +1 more source

California Breast Cancer Law

Ca-A Cancer Journal for Clinicians, 1982
Víctor A Marcial
exaly   +4 more sources

The California Breast Cancer Law and Government-Mandated Patient Education

Ca-A Cancer Journal for Clinicians, 1982
Stephen K Carter
exaly  

Breast Cancer Law

Ca-A Cancer Journal for Clinicians, 1983
exaly   +2 more sources

Second-law analyses applied to internal combustion engines operation

Progress in Energy and Combustion Science, 2006
C D Rakopoulos, Evangelos G Giakoumis
exaly  

Equalities and Inequalities: Irreversibility and the Second Law of Thermodynamics at the Nanoscale

Annual Review of Condensed Matter Physics, 2011
Christopher Jarzynski
exaly  

Global Health and the Law

New England Journal of Medicine, 2014
Lawrence O Gostin, Devi Sridhar
exaly  

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