15 citations to https://www.mathnet.ru/eng/ecp2
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Zhaorui Dong, Jianfeng Yao, “Necessary and sufficient conditions for the Marcĕnko-Pastur law for sample correlation matrices”, Statistics & Probability Letters, 2025, 110377
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Nina Dörnemann, Johannes Heiny, “Limiting spectral distribution for large sample correlation matrices”, Ann. Appl. Probab., 35:4 (2025)
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P. A. Yaskov, “O spektre sluchainykh matrits Grama bolshoi razmernosti v usloviyakh chastichnoi zavisimosti”, UMN, 80:5(485) (2025), 105–174
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Pavel Yaskov, “A remark on the spectrum of sample covariance matrices from large random tensors”, ALEA, 22:2 (2025), 1301
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Wangjun Yuan, “On spectrum of sample covariance matrices from large tensor vectors”, ALEA, 21:2 (2024), 1527
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P. A. Yaskov, “On the asymptotics of the spectrum of random matrices with independent entries”, Russian Math. Surveys, 79:5 (2024), 923–924
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P. A. Yaskov, “Sufficient conditions for the Marchenko–Pastur theorem”, Theory Probab. Appl., 68:4 (2024), 657–673
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Pavel Yaskov, “Marchenko–Pastur law for a random tensor model”, Electron. Commun. Probab., 28 (2023), 23–17
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P. A. Yaskov, “Limiting spectral distribution for large sample covariance matrices with graph-dependent elements”, Theory Probab. Appl., 67:3 (2022), 375–388
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Benoît Collins, Jianfeng Yao, Wangjun Yuan, “On spectral distribution of sample covariance matrices from large dimensional and large k-fold tensor products”, Electron. J. Probab., 27:none (2022)