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1
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Linke Y.Y.
, Borisov I.S.
, Ruzankin P.S.
, Kutsenko V.A.
, Yarovaya E.B.
, Shalnova S.A.
Multivariate Universal Local Linear Kernel Estimators in Nonparametric Regression: Simulations and Real Data Processing
Sankhya A. 2025.
P.1-28. DOI: 10.1007/s13171-025-00391-z
WOS
Scopus
РИНЦ
OpenAlex
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2
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Linke Y.Y.
, Borisov I.S.
Universal nonparametric kernel-type estimators for the mean and covariance functions of a stochastic process
Theory of Probability and its Applications. 2024.
V.69. N1. P.35-58. DOI: 10.1137/S0040585X97T991738
WOS
Scopus
РИНЦ
OpenAlex
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3
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Linke Y.
, Borisov I.
, Ruzankin P.
, Kutsenko V.
, Yarovaya E.
, Shalnova S.
Multivariate Universal Local Linear Kernel Estimators in Nonparametric Regression: Uniform Consistency
Mathematics. 2024.
V.12. N12. 1890
:1-23. DOI: 10.3390/math12121890
WOS
Scopus
РИНЦ
OpenAlex
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4
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Linke Y.Y.
, Borisov I.S.
An approach to constructing explicit estimators in nonlinear regression
Siberian Advances in Mathematics. 2023.
V.33. N4. P.338-346. DOI: 10.1134/S1055134423040065
Scopus
РИНЦ
OpenAlex
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5
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Linke Y.Y.
, Borisov I.S.
, Ruzankin P.S.
Universal kernel-type estimation of random fields
Statistics. 2023.
V.57. N4. P.785-810. DOI: 10.1080/02331888.2023.2231114
WOS
Scopus
РИНЦ
OpenAlex
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6
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Linke Y.Y.
Towards insensitivity of Nadaraya -Watson estimators to design correlation
Theory of Probability and its Applications. 2023.
V.68. N2. P.198-210. DOI: 10.1137/S0040585X97T991362
WOS
Scopus
РИНЦ
OpenAlex
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7
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Linke Y.Y.
On Sufficient Conditions for the Consistency of Local Linear Kernel Estimators
Mathematical Notes. 2023.
V.114. N3-4. P.308-321. DOI: 10.1134/s0001434623090043
WOS
Scopus
РИНЦ
OpenAlex
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8
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Linke Y.
, Borisov I.
, Ruzankin P.
, Kutsenko V.
, Yarovaya E.
, Shalnova S.
Universal Local Linear Kernel Estimators in Nonparametric Regression
Mathematics. 2022.
V.10. N15. 2693
:1-28. DOI: 10.3390/math10152693
WOS
Scopus
РИНЦ
OpenAlex
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9
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Linke Y.
, Borisov I.
Insensitivity of Nadaraya–Watson estimators to design correlation
Communications in Statistics - Theory and Methods. 2022.
V.51. N19. P.6909-6918. DOI: 10.1080/03610926.2021.1876884
WOS
Scopus
РИНЦ
OpenAlex
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10
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Linke Y.Y.
Kernel Estimators for the Mean Function of a Stochastic Process under Sparse Design Conditions
Siberian Advances in Mathematics. 2022.
V.32. N4. P.269-276. DOI: 10.1134/S1055134422040034
Scopus
РИНЦ
OpenAlex
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11
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Borisov I.S.
, Linke Y.Y.
, Ruzankin P.S.
Universal weighted kernel-type estimators for some class of regression models
Metrika. 2021.
V.84. N2. P.141-166. DOI: 10.1007/s00184-020-00768-0
WOS
Scopus
OpenAlex
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12
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Linke Y.
Asymptotic properties of one-step M-estimators
Communications in Statistics - Theory and Methods. 2019.
V.48. N16. P.4096-4118. DOI: 10.1080/03610926.2018.1487982
WOS
Scopus
OpenAlex
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13
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Linke Y.Y.
, Borisov I.S.
Toward the Notion of Intrinsically Linear Models in Nonlinear Regression
Siberian Advances in Mathematics. 2019.
V.29. N3. P.210-216. DOI: 10.3103/s1055134419030064
Scopus
OpenAlex
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14
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Linke Y.Y.
, Borisov I.S.
Constructing explicit estimators in nonlinear regression problems
Theory of Probability and its Applications. 2018.
V.63. N1. P.22-44. DOI: 10.1137/S0040585X97T988897
WOS
Scopus
OpenAlex
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15
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Linke Y.Y.
Two-Step Estimation in a Heteroscedastic Linear Regression Model
Journal of Mathematical Sciences (United States). 2018.
V.231. N2. P.206-217. DOI: 10.1007/s10958-018-3816-y
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OpenAlex
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16
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Linke Y.Y.
Asymptotic Properties of One-Step Weighted $M$-Estimators with Applications to Regression
Theory of Probability and its Applications. 2018.
V.62. N3. P.373-398. DOI: 10.1137/s0040585x97t988691
WOS
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OpenAlex
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17
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Linke Y.Y.
, Sakhanenko A.I.
Conditions of Asymptotic Normality of One-Step M-Estimators
Journal of Mathematical Sciences (United States). 2018.
V.230. N1. P.95-111. DOI: 10.1007/s10958-018-3730-3
Scopus
OpenAlex
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18
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Linke Y.Y.
, Borisov I.S.
Constructing initial estimators in one-step estimation procedures of nonlinear regression
Statistics and Probability Letters. 2017.
V.120. P.87-94. DOI: 10.1016/j.spl.2016.09.022
WOS
Scopus
OpenAlex
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19
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Linke Y.Y.
Asymptotic normality of one-step M-estimators based on non-identically distributed observations
Statistics and Probability Letters. 2017.
V.129. P.216-221. DOI: 10.1016/j.spl.2017.05.020
WOS
Scopus
OpenAlex
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20
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Linke Y.Y.
Refinement of Fisher's One-Step Estimators in the Case of Slowly Converging Initial Estimators
Theory of Probability and its Applications. 2016.
P.88-102. DOI: 10.1137/S0040585X97T987478
WOS
Scopus
OpenAlex
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