متابعة
Jack W Silverstein
Jack W Silverstein
North Carolina State University
بريد إلكتروني تم التحقق منه على math.ncsu.edu - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Spectral analysis of large dimensional random matrices‏
Z Bai, JW Silverstein‏
Springer, 2010‏
22352010
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
14361977
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
8791995
Eigenvalues of large sample covariance matrices of spiked population models‏
J Baik, JW Silverstein‏
Journal of multivariate analysis 97 (6), 1382-1408, 2006‏
8252006
CLT for linear spectral statistics of large-dimensional sample covariance matrices‏
ZD Bai, JW Silverstein‏
Advances In Statistics, 281-333, 2008‏
6712008
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
6571998
Strong convergence of the empirical distribution of eigenvalues of large dimensional random matrices‏
JW Silverstein‏
Journal of Multivariate Analysis 55 (2), 331-339, 1995‏
6101995
Analysis of the limiting spectral distribution of large dimensional random matrices‏
JW Silverstein, SI Choi‏
Journal of Multivariate Analysis 54 (2), 295-309, 1995‏
3881995
The smallest eigenvalue of a large dimensional Wishart matrix‏
JW Silverstein‏
The Annals of Probability, 1364-1368, 1985‏
3451985
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
2262011
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
2221988
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
1852010
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
1832007
Exact separation of eigenvalues of large dimensional sample covariance matrices‏
ZD Bai, JW Silverstein‏
Annals of probability, 1536-1555, 1999‏
1761999
Spectral analysis of networks with random topologies‏
U Grenander, JW Silverstein‏
SIAM Journal on Applied Mathematics 32 (2), 499-519, 1977‏
1291977
Signal detection via spectral theory of large dimensional random matrices‏
JW Silverstein, PL Combettes‏
IEEE Transactions on Signal Processing 40 (8), 2100-2105, 1992‏
1021992
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
1012009
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
872015
Weak convergence of random functions defined by the eigenvectors of sample covariance matrices‏
JW Silverstein‏
The Annals of Probability, 1174-1194, 1990‏
871990
Analysis of the limiting spectral distribution of large dimensional information-plus-noise type matrices‏
RB Dozier, JW Silverstein‏
Journal of Multivariate Analysis 98 (6), 1099-1122, 2007‏
792007
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مقالات 1–20