23 citations to https://www.mathnet.ru/rus/crmat2
  1. Antoine Didisheim, Bryan T. Kelly, Semyon Malamud, “Deep Regression Ensembles”, SSRN Journal, 2022  crossref
  2. 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)  crossref
  3. Yuichi Ikeda, Evolutionary Economics and Social Complexity Science, 28, Digital Designs for Money, Markets, and Social Dilemmas, 2022, 203  crossref
  4. 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  mathnet  crossref  scopus
  5. Jennifer Bryson, Roman Vershynin, Hongkai Zhao, “Marchenko–Pastur law with relaxed independence conditions”, Random Matrices: Theory Appl., 10:04 (2021)  crossref
  6. Bryan T. Kelly, Semyon Malamud, “The Virtue of Complexity in Machine Learning Portfolios”, SSRN Journal, 2021  crossref
  7. G. L. Zitelli, “Random matrix models for datasets with fixed time horizons”, Quantitative Finance, 20:5 (2020), 769  crossref
  8. Fatih Yavuz ILGIN, “SIMO Haberleşme Kanallar{\i}nda Enerji Tabanlıİşbirlikli Spektrum Alg{\i}lama”, European Journal of Science and Technology, 2020, 96  crossref
  9. Victor Solo, 2019 IEEE 58th Conference on Decision and Control (CDC), 2019, 4527  crossref
  10. Florence Merlevède, Magda Peligrad, Progress in Probability, 74, High Dimensional Probability VIII, 2019, 241  crossref
Предыдущая
1
2
3
Следующая