No Eigenvalues Outside the Support of the Limiting Spectral Distribution of Large Dimensional noncentral Sample Covariance Matrices

Zhidong Bai, Hu Jiang, Jack W. Silverstein, Huanchao Zhou

Type: Preprint

Publication Date: 2023-01-01

Citations: 0

DOI: https://doi.org/10.48550/arxiv.2303.12478

View Publication

Locations

arXiv (Cornell University) - View
DataCite API - View

Similar Works

Action	Title	Year	Authors
+ PDF Chat	No eigenvalues outside the support of the limiting spectral distribution of large-dimensional sample covariance matrices	1998	Zhidong Bai Jack W. Silverstein
+	NO EIGENVALUES OUTSIDE THE SUPPORT OF THE LIMITING SPECTRAL DISTRIBUTION OF INFORMATION-PLUS-NOISE TYPE MATRICES	2011	Zhidong Bai Jack W. Silverstein
+	Exact Separation of Eigenvalues of Large Dimensional Noncentral Sample Covariance Matrices	2023	Zhidong Bai Jiang Hu Jack W. Silverstein Huanchao Zhou
+	No eigenvalues outside the limiting support of the spectral distribution of general sample covariance matrices	2018	Yanqing Yin
+	The limiting spectral distribution of large dimensional general information-plus-noise type matrices	2022	Huanchao Zhou Zhidong Bai Jiang Hu
+	No eigenvalues outside the support of the limiting spectral distribution of large dimensional noncentral sample covariance matrices	2024	Zhidong Bai Jiang Hu Jack W. Silverstein Huanchao Zhou
+ PDF Chat	CONVERGENCE RATE OF EXPECTED SPECTRAL DISTRIBUTIONS OF LARGE RANDOM MATRICES PART II: SAMPLE COVARIANCE MATRICES	2008	Zhidong Bai
+	Limiting spectral distribution of high-dimensional noncentral Fisher matrices and its analysis	2022	Xiaozhuo Zhang Zhidong Bai Jiang Hu
+ PDF Chat	Unbounded largest eigenvalue of large sample covariance matrices: Asymptotics, fluctuations and applications	2019	Florence Merlevède Jamal Najım Peng Tian
+	Existence and Analysis of the Limiting Spectral Distribution of Large Dimensional Information-Plus-Noise Type Matrices	2005	R. Brent Dozier
+ PDF Chat	Analysis of the Limiting Spectral Distribution of Large-dimensional General Information-Plus-Noise-Type Matrices	2023	Huanchao Zhou Jiang Hu Zhidong Bai Jack W. Silverstein
+ PDF Chat	The Limiting Spectral Distribution of Large-Dimensional General Information-Plus-Noise-Type Matrices	2022	Huanchao Zhou Zhidong Bai Jiang Hu
+	Spectral analysis of the Moore-Penrose inverse of a large dimensional sample covariance matrix	2015	Taras Bodnar Holger Dette Nestor Parolya
+	Spectral analysis of the Moore-Penrose inverse of a large dimensional sample covariance matrix	2015	Taras Bodnar Holger Dette Nestor Parolya
+	Analysis of the limiting spectral distribution of large dimensional information-plus-noise type matrices	2007	R. Brent Dozier Jack W. Silverstein
+ PDF Chat	Spectral Measure of Heavy Tailed Band and Covariance Random Matrices	2009	Serban T. Belinschi Amir Dembo Alice Guionnet
+	Analysis of the limiting spectral measure of large random matrices of the separable covariance type	2013	Romain Couillet Walid Hachem
+	Analysis of the limiting spectral measure of large random matrices of the separable covariance type	2013	Romain Couillet Walid Hachem
+ PDF Chat	Analysis of the limiting spectral measure of large random matrices of the separable covariance type	2013	Romain Couillet Walid Hachem
+	No outliers in the spectrum of the product of independent non-Hermitian random matrices with independent entries	2014	Yuriy Nemish

Works That Cite This (0)

Action	Title	Year	Authors

Works Cited by This (0)

Action	Title	Year	Authors