8 citations to https://www.mathnet.ru/rus/ecp1
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П. А. Яськов, “О достаточных условиях в теореме Марченко–Пастура”, Теория вероятн. и ее примен., 68:4 (2023), 813–833 ; P. A. Yaskov, “Sufficient conditions for the Marchenko–Pastur theorem”, Theory Probab. Appl., 68:4 (2024), 657–673
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Jaouad Mourtada, “Exact minimax risk for linear least squares, and the lower tail of sample covariance matrices”, Ann. Statist., 50:4 (2022)
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Daniel Bartl, Shahar Mendelson, “On Monte-Carlo methods in convex stochastic optimization”, Ann. Appl. Probab., 32:4 (2022)
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Zipei Nie, Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing, 2022, 568
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Boualem Djehiche, Othmane Mazhar, Cristian R. Rojas, “Finite impulse response models: A non-asymptotic analysis of the least squares estimator”, Bernoulli, 27:2 (2021)
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Vyacheslav L. Girko, “The RESPECT method.
Simple proof of finding estimates from below for minimal singular eigenvalues of random matrices whose entries have zero means and bounded variances”, Random Operators and Stochastic Equations, 27:3 (2019), 167
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Pavel Yaskov, “Controlling the least eigenvalue of a random Gram matrix”, Linear Algebra Appl., 504 (2016), 108–123
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Roberto Imbuzeiro Oliveira, “The lower tail of random quadratic forms with applications to ordinary least squares”, Probab. Theory Relat. Fields, 166:3-4 (2016), 1175