Yuliana Linke, Igor Borisov, Pavel Ruzankin, Vladimir Kutsenko, Elena Yarovaya, Svetlana Shalnova, “Universal Local Linear Kernel Estimators in Nonparametric Regression”, Mathematics, 10, no. 15, 2022, 2693
Yu. Yu. Linke, “Asymptotic Properties of One-Step Weighted $M$-Estimators with Applications to Regression”, Theory Probab. Appl., 62, no. 3, 2018, 373
Yuliana Linke, “Asymptotic properties of one-step M-estimators”, Communications in Statistics - Theory and Methods, 48, no. 16, 2019, 4096
Yu. Yu. Linke, I. S. Borisov, “Toward the Notion of Intrinsically Linear Models in Nonlinear Regression”, Sib. Adv. Math., 29, no. 3, 2019, 210
Yuliana Yurievna Linke, “О достаточных условиях состоятельности локально-линейных ядерных оценок”, Математические заметки, 114, no. 3, 2023, 353
Yu. Yu. Linke, “Kernel Estimators for the Mean Function of a Stochastic Process under Sparse Design Conditions”, Sib. Adv. Math., 32, no. 4, 2022, 269
Y. Y. Linke, I. S. Borisov, P. S. Ruzankin, “Universal kernel-type estimation of random fields”, Statistics, 57, no. 4, 2023, 785
Yuliana Linke, Igor Borisov, “Insensitivity of Nadaraya–Watson estimators to design correlation”, Communications in Statistics - Theory and Methods, 51, no. 19, 2022, 6909
Yu. Yu. Linke, I. S. Borisov, “Universal Nonparametric Kernel-Type Estimators for the Mean and Covariance Functions of a Stochastic Process”, Theory Probab. Appl., 69, no. 1, 2024, 35
Yuliana Linke, Igor Borisov, Pavel Ruzankin, Vladimir Kutsenko, Elena Yarovaya, Svetlana Shalnova, “Multivariate Universal Local Linear Kernel Estimators in Nonparametric Regression: Uniform Consistency”, Mathematics, 12, no. 12, 2024, 1890