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pro vyhledávání: '"prediction estimation"'
Most of the existing Mendelian randomization (MR) methods are limited by the assumption of linear causality between exposure and outcome, and the development of new non-linear MR methods is highly desirable. We introduce two-stage prediction estimati
Externí odkaz:
http://arxiv.org/abs/2402.01121
Akademický článek
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Autor:
Ibrahim, Muhammad, Haider, Adnan, Lim, Jun Wei, Mainali, Bandita, Aslam, Muhammad, Kumar, Mathava, Shahid, Muhammad Kashif
Publikováno v:
In Chemosphere August 2024 362
This paper considers the estimation and prediction of a high-dimensional linear regression in the setting of transfer learning, using samples from the target model as well as auxiliary samples from different but possibly related regression models. Wh
Externí odkaz:
http://arxiv.org/abs/2006.10593
Publikováno v:
In Journal of Loss Prevention in the Process Industries July 2020 66
Autor:
Wang, Yu-Xiang
We revisit the problem of linear regression under a differential privacy constraint. By consolidating existing pieces in the literature, we clarify the correct dependence of the feature, label and coefficient domains in the optimization error and est
Externí odkaz:
http://arxiv.org/abs/1803.02596
Autor:
Yang, Yuhong
Publikováno v:
Econometric Theory, 2007 Feb 01. 23(1), 1-36.
Externí odkaz:
https://www.jstor.org/stable/4126565
Publikováno v:
Journal of the Royal Statistical Society: Series B (Statistical Methodology). Feb2022, Vol. 84 Issue 1, p149-173. 25p.
Autor:
V. V. Vladimirov
Publikováno v:
Известия высших учебных заведений России: Радиоэлектроника, Vol 25, Iss 1, Pp 28-35 (2022)
Introduction. Short-wave stations for detecting airborne objects of the ionospheric type have a number of limited technical characteristics, one of which is their low azimuth resolution. This limitation is manifested in the impossibility to separatel
Externí odkaz:
https://doaj.org/article/f55abb5cdea946b0b729c2efec64d391