Universal Local Linear Kernel Estimators in Nonparametric Regression

Universal Local Linear Kernel Estimators in Nonparametric Regression Full article

Journal

Mathematics
, E-ISSN: 2227-7390

Output data

Year: 2022, Volume: 10, Number: 15, Article number : 2693, Pages count : 28 DOI: 10.3390/math10152693

Tags

dependent design elements; epidemiological research; fixed design; kernel estimator; local linear estimator; mean of dense functional data; nonparametric regression; random design; uniform consistency

Authors

Linke Yuliana ¹ , Borisov Igor ¹ , Ruzankin Pavel ¹ , Kutsenko Vladimir ^2,3 , Yarovaya Elena ^2,3 , Shalnova Svetlana ³

Affiliations

1	Sobolev Institute of Mathematics
2	Lomonosov Moscow State University
3	National Medical Research Center for Therapy and Preventive Medicine

Funding (1)

Sobolev Institute of Mathematics

FWNF-2022-0009

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

Accepted:	Jul 25, 2022
Published online:	Jul 29, 2022

Web of science:	WOS:000839695600001
Scopus:	2-s2.0-85136818454
Elibrary:	49845853
OpenAlex:	W4289177604

DB	Citing
Scopus	12
Web of science	10
OpenAlex	13
Elibrary	15