Speciality: 01.01.05 (Probability theory and mathematical statistics)
Birth date: 5.05.1975
E-mail:
Website: https://tvims.nsu.ru/linke/
Keywords: one-step improvement of statistical estimators, one-step M-estimators, M-estimators, regression analysis, change-point problem

Subject:

one-step improvement of statistical estimators, linear and nonlinear regression, one-step M-estimators, change-point problem

Main publications:

1. Yu.Yu. Linke, Asymptotic properties of one-step M-estimators., Communications in Statistics - Theory and Methods., 48, (2019), 4096-4118
2. Linke Y., Borisov I., Ruzankin P., Kutsenko V., Yarovaya E., Shalnova S., “Universal local linear kernel estimators in nonparametric regression”, Mathematics, 10:15 (2022), 2693.
3. Yu.Yu. Linke, I.S. Borisov, Constructing initial estimators in one-step estimation procedures of nonlinear regression, Stat. Probab. Lett., 120, (2017), 87-94
4. Yu.Yu. Linke, Asymptotic normality of one-step M-estimators based on non-identically distributed observations., Stat. Probab. Lett., 129, (2017), 216-221
5. Yu.Yu. Linke, I.S,Borisov, “Insensitivity of Nadaraya–Watson estimators to design correlation”, Communications in Statistics - Theory and Methods, 51:19 (2022), 6909-6918

Recent publications

Presentations in Math-Net.Ru

Personal pages:

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Organisations:

• Novosibirsk State University, Mechanics and Mathematics Department
• Sobolev Institute of Mathematics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk