18 citations to https://www.mathnet.ru/rus/ecp3
  1. Nikita Zhivotovskiy, “Dimension-free bounds for sums of independent matrices and simple tensors via the variational principle”, Electron. J. Probab., 29:none (2024)  crossref
  2. Yufei Yi, Matey Neykov, “Non-asymptotic bounds for the ℓ∞ estimator in linear regression with uniform noise”, Bernoulli, 30:1 (2024)  crossref
  3. Stanislav Anatolyev, Maksim Smirnov, “Off-diagonal elements of projection matrices and dimension asymptotics”, Economics Letters, 239 (2024), 111761  crossref
  4. П. А. Яськов, “О достаточных условиях в теореме Марченко–Пастура”, Теория вероятн. и ее примен., 68:4 (2023), 813–833  mathnet  crossref; P. A. Yaskov, “Sufficient conditions for the Marchenko–Pastur theorem”, Theory Probab. Appl., 68:4 (2024), 657–673  crossref
  5. Vitali Milman, Lecture Notes in Mathematics, 2327, Geometric Aspects of Functional Analysis, 2023, 1  crossref
  6. Weidong Liu, Xiaojun Mao, Xin Zhang, “Fast and Robust Sparsity Learning Over Networks: A Decentralized Surrogate Median Regression Approach”, IEEE Trans. Signal Process., 70 (2022), 797  crossref
  7. Zipei Nie, Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing, 2022, 568  crossref
  8. Jaouad Mourtada, “Exact minimax risk for linear least squares, and the lower tail of sample covariance matrices”, Ann. Statist., 50:4 (2022)  crossref
  9. Željko Kereta, Timo Klock, “Estimating covariance and precision matrices along subspaces”, Electron. J. Statist., 15:1 (2021)  crossref
  10. Alexander E. Litvak, Anna Lytova, Konstantin Tikhomirov, Nicole Tomczak-Jaegermann, Pierre Youssef, “The smallest singular value of a shifted d-regular random square matrix”, Probab. Theory Relat. Fields, 173:3-4 (2019), 1301  crossref
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