The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
Random matrix theory
Abstract
Random matrix theory is now a big subject with applications in many disciplines of science, engineering and finance. This article is a survey specifically oriented towards the needs and interests of a numerical analyst. This survey includes some original material not found anywhere else. We include the important mathematics which is a very modern development, as well as the computational software that is transforming the theory into useful practice.
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Citations
Cites
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McQuarrie, D. A. (1966) · American Journal of Physics · doi:10.1119/1.1972842 · Cited by 40,433
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Symmetric Functions and Hall Polynomials
Macdonald, I. G. (1995) · doi:10.1093/oso/9780198534891.001.0001 · Cited by 7,483
Brownian Motion and Stochastic Calculus
(2007) · Springer Finance · doi:10.1007/978-1-84628-696-4_13 · Cited by 7,422
Bollobás, B. (1985) · Cited by 6,196
Aspects of Multivariate Statistical Theory
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On the distribution of the largest eigenvalue in principal components analysis
Johnstone, I. M. (2001) · The Annals of Statistics · doi:10.1214/aos/1009210544 · Cited by 1,949
Toeplitz Forms and Their Applications
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Calculating the Singular Values and Pseudo-Inverse of a Matrix
Golub, G., & Kahan, W. (1965) · Journal of the Society for Industrial and Applied Mathematics Series B Numerical Analysis · doi:10.1137/0702016 · Cited by 1,786
Cited by
Distribution of the Ratio of Consecutive Level Spacings in Random Matrix Ensembles
Atas, Y. Y., Bogomolny, E., Giraud, O., & Roux, G. (2013) · Physical Review Letters · doi:10.1103/physrevlett.110.084101 · Cited by 983
The Application of MIMO to Non-Orthogonal Multiple Access
Ding, Z., Adachi, F., & Poor, H. V. (2016) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2015.2475746 · Cited by 894
Div-Seq: Single-nucleus RNA-Seq reveals dynamics of rare adult newborn neurons
Habib, N., Li, Y., Heidenreich, M., Swiech, L., Avraham-Davidi, I., Trombetta, J. J., Hession, C., Zhang, F., & Regev, A. (2016) · Science · doi:10.1126/science.aad7038 · Cited by 601
Nadakuditi, R. R., & Edelman, A. (2008) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2008.917356 · Cited by 287
Self-citationCause and cure of sloppiness in ordinary differential equation models
Tönsing, C., Timmer, J., & Kreutz, C. (2014) · Physical Review E · doi:10.1103/physreve.90.023303 · Cited by 33
Metadata
- Authors
- Edelman, A., & Rao, N. R.
- Venue
- Acta Numerica
- Publisher
- Cambridge University Press (CUP)
- Published
- 2005-04-19
- Volume
- 14
- Pages
- 233-297
- ISSN
- 0962-4929 (ISSN-L)
- 1474-0508
- OpenAlex
- W2046351805
- Cited by
- 526
- References
- 40
- FWCI
- 16.54
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
