Yuliana Yu. Linke

Yuliana Yu. Linke is an Associate Professor at the Chair of Probability Theory and Mathematical Statistics of Novosibirsk State University and a Senior Researcher at the Laboratory of Applied Inverse Problems of the Sobolev Institute of Mathematics. She holds a Candidate of Science (Ph.D.) from the Sobolev Institute of Mathematics (2000) and a Doctor Habilitatus from Lomonosov Moscow State University (2024).

Education:

• 1992-1998, Novosibirsk State University, Mathematical Department
• 1998-2000, Postgraduate Course, Chair of Probability Theory and Math. Statistics, NSU
• 2000, Candidate of Science (Ph.D.), Sobolev Institute of Mathematics
• 2024, Doctor Habilitatus (Dr.Habil), Lomonosov Moscow State University

Her research focuses on regression analysis and the change-point problem. She has extensively contributed to nonparametric estimation techniques, particularly kernel methods and asymptotic statistics, addressing challenges in stochastic processes and heteroscedastic models.

Her publications over the past 15 years highlight advancements in kernel-type estimators for regression models, emphasizing uniform consistency, insensitivity to design correlation, and asymptotic normality under non-identical distributions. These works span theoretical developments and applications to stochastic processes and random fields.

Linke has also taught courses for the Department of Natural Sciences at Novosibirsk State University, with teaching materials available in Russian.