23 citations to https://www.mathnet.ru/rus/crmat2
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Antoine Didisheim, Bryan T. Kelly, Semyon Malamud, “Deep Regression Ensembles”, SSRN Journal, 2022
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Alicja Dembczak-Kołodziejczyk, Anna Lytova, “On the empirical spectral distribution for certain models related to sample covariance matrices with different correlations”, Random Matrices: Theory Appl., 11:03 (2022)
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Yuichi Ikeda, Evolutionary Economics and Social Complexity Science, 28, Digital Designs for Money, Markets, and Social Dilemmas, 2022, 203
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Pavel Yaskov, “Limit of the smallest eigenvalue of a sample covariance matrix for spherical and related distributions”, Springer Proc. Math. Statist., 371 (2021), 229–241
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Jennifer Bryson, Roman Vershynin, Hongkai Zhao, “Marchenko–Pastur law with relaxed independence conditions”, Random Matrices: Theory Appl., 10:04 (2021)
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Bryan T. Kelly, Semyon Malamud, “The Virtue of Complexity in Machine Learning Portfolios”, SSRN Journal, 2021
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G. L. Zitelli, “Random matrix models for datasets with fixed time horizons”, Quantitative Finance, 20:5 (2020), 769
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Fatih Yavuz ILGIN, “SIMO Haberleşme Kanallar{\i}nda Enerji Tabanlıİşbirlikli Spektrum Alg{\i}lama”, European Journal of Science and Technology, 2020, 96
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Victor Solo, 2019 IEEE 58th Conference on Decision and Control (CDC), 2019, 4527
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Florence Merlevède, Magda Peligrad, Progress in Probability, 74, High Dimensional Probability VIII, 2019, 241