Jack W Silverstein

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Romain COUILLETUGA IDEX DataScience Chair, GIPSA-lab, University Grenoble-AlpesVerificeret mail på gipsa-lab.grenoble-inp.fr
Merouane DebbahKU 6G Center, Khalifa University, CentralesupelecVerificeret mail på centralesupelec.fr
Frédéric PascalProfessor, L2S/CentraleSupélecVerificeret mail på centralesupelec.fr
Jinho BaikDepartment of Mathematics, University of MichiganVerificeret mail på umich.edu
Raj Rao NadakuditiAssociate Professor, University of MichiganVerificeret mail på umich.edu
Patrick L. CombettesDepartment of Mathematics, North Carolina State UniversityVerificeret mail på math.ncsu.edu
Debashis PaulUniversity of California, Davis and Indian Statistical Instititute, KolkataVerificeret mail på ucdavis.edu
Wlodek BrycProfessor of Mathematical Sciences, University of CincinnatiVerificeret mail på uc.edu
Brian RiderProfessor, Temple UniversityVerificeret mail på temple.edu
Jamal NajimCNRS et Université Gustave Eiffel (Paris Est)Verificeret mail på univ-eiffel.fr
Jianfeng (Jeff) YaoThe Chinese University of Hong Kong (Shenzhen)Verificeret mail på cuhk.edu.cn
Qinwen WANGFudan UniversityVerificeret mail på fudan.edu.cn
Antonia Maria TulinoUniverisità Federico II, Napoli, Italy - New York University, NY USA, - Bell Labs, NJ, USAVerificeret mail på unina.it
Jiang HuNortheast Normal UniversityVerificeret mail på nenu.edu.cn
James AndersonProfessor of Agronomy & Plant Genetics, University of MinnesotaVerificeret mail på umn.edu
Yanting MaMitsubishi Electric Research LaboratoriesVerificeret mail på merl.com
Dror BaronNorth Carolina State UniversityVerificeret mail på ncsu.edu
Min KangDepartment of Mathematics, North Carolina State UniversityVerificeret mail på ncsu.edu
Katarzyna (Kasia) BrycSenior Scientist, Population Genetics

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Jack W Silverstein

North Carolina State University

Verificeret mail på math.ncsu.edu - Startside

Random matrices


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
Spectral analysis of large dimensional random matrices Z Bai, JW Silverstein Springer, 2010	2202	2010
Distinctive features, categorical perception, and probability learning: Some applications of a neural model. JA Anderson, JW Silverstein, SA Ritz, RS Jones Psychological review 84 (5), 413, 1977	1444	1977
On the empirical distribution of eigenvalues of a class of large dimensional random matrices JW Silverstein, ZD Bai Journal of Multivariate analysis 54 (2), 175-192, 1995	874	1995
Eigenvalues of large sample covariance matrices of spiked population models J Baik, JW Silverstein Journal of multivariate analysis 97 (6), 1382-1408, 2006	834	2006
CLT for linear spectral statistics of large-dimensional sample covariance matrices ZD Bai, JW Silverstein Advances In Statistics, 281-333, 2008	669	2008
No eigenvalues outside the support of the limiting spectral distribution of large-dimensional sample covariance matrices ZD Bai, JW Silverstein The Annals of Probability 26 (1), 316-345, 1998	653	1998
Strong convergence of the empirical distribution of eigenvalues of large dimensional random matrices JW Silverstein Journal of Multivariate Analysis 55 (2), 331-339, 1995	602	1995
Analysis of the limiting spectral distribution of large dimensional random matrices JW Silverstein, SI Choi Journal of Multivariate Analysis 54 (2), 295-309, 1995	386	1995
The smallest eigenvalue of a large dimensional Wishart matrix JW Silverstein The Annals of Probability, 1364-1368, 1985	345	1985
A deterministic equivalent for the analysis of correlated MIMO multiple access channels R Couillet, M Debbah, JW Silverstein IEEE Transactions on Information Theory 57 (6), 3493-3514, 2011	226	2011
A note on the largest eigenvalue of a large dimensional sample covariance matrix ZD Bai, JW Silverstein, YQ Yin Journal of Multivariate Analysis 26 (2), 166-168, 1988	222	1988
Fundamental limit of sample generalized eigenvalue based detection of signals in noise using relatively few signal-bearing and noise-only samples RR Nadakuditi, JW Silverstein IEEE Journal of selected topics in Signal Processing 4 (3), 468-480, 2010	186	2010
On the empirical distribution of eigenvalues of large dimensional information-plus-noise-type matrices RB Dozier, JW Silverstein Journal of Multivariate Analysis 98 (4), 678-694, 2007	184	2007
Exact separation of eigenvalues of large dimensional sample covariance matrices ZD Bai, JW Silverstein Annals of probability, 1536-1555, 1999	176	1999
Spectral analysis of networks with random topologies U Grenander, JW Silverstein SIAM Journal on Applied Mathematics 32 (2), 499-519, 1977	131	1977
Signal detection via spectral theory of large dimensional random matrices JW Silverstein, PL Combettes IEEE Transactions on Signal Processing 40 (8), 2100-2105, 1992	104	1992
No eigenvalues outside the support of the limiting empirical spectral distribution of a separable covariance matrix D Paul, JW Silverstein Journal of Multivariate Analysis 100 (1), 37-57, 2009	100	2009
The random matrix regime of Maronna’s M-estimator with elliptically distributed samples R Couillet, F Pascal, JW Silverstein Journal of Multivariate Analysis 139, 56-78, 2015	87	2015
Weak convergence of random functions defined by the eigenvectors of sample covariance matrices JW Silverstein The Annals of Probability, 1174-1194, 1990	86	1990
On the eigenvectors of large dimensional sample covariance matrices JW Silverstein Journal of multivariate analysis 30 (1), 1-16, 1989	79	1989

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