15 citations to https://www.mathnet.ru/eng/ecp2
  1. Zhaorui Dong, Jianfeng Yao, “Necessary and sufficient conditions for the Marcĕnko-Pastur law for sample correlation matrices”, Statistics & Probability Letters, 2025, 110377  crossref
  2. Nina Dörnemann, Johannes Heiny, “Limiting spectral distribution for large sample correlation matrices”, Ann. Appl. Probab., 35:4 (2025)  crossref
  3. P. A. Yaskov, “O spektre sluchainykh matrits Grama bolshoi razmernosti v usloviyakh chastichnoi zavisimosti”, UMN, 80:5(485) (2025), 105–174  mathnet  crossref
  4. Pavel Yaskov, “A remark on the spectrum of sample covariance matrices from large random tensors”, ALEA, 22:2 (2025), 1301  crossref
  5. Wangjun Yuan, “On spectrum of sample covariance matrices from large tensor vectors”, ALEA, 21:2 (2024), 1527  crossref
  6. P. A. Yaskov, “On the asymptotics of the spectrum of random matrices with independent entries”, Russian Math. Surveys, 79:5 (2024), 923–924  mathnet  crossref  crossref  mathscinet  adsnasa  isi
  7. P. A. Yaskov, “Sufficient conditions for the Marchenko–Pastur theorem”, Theory Probab. Appl., 68:4 (2024), 657–673  mathnet  crossref  crossref  mathscinet
  8. Pavel Yaskov, “Marchenko–Pastur law for a random tensor model”, Electron. Commun. Probab., 28 (2023), 23–17  mathnet  crossref
  9. P. A. Yaskov, “Limiting spectral distribution for large sample covariance matrices with graph-dependent elements”, Theory Probab. Appl., 67:3 (2022), 375–388  mathnet  crossref  crossref
  10. 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)  crossref
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