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pro vyhledávání: '"Jiang, Jiming"'
A Random-effects Approach to Regression Involving Many Categorical Predictors and Their Interactions
Linear model prediction with a large number of potential predictors is both statistically and computationally challenging. The traditional approaches are largely based on shrinkage selection/estimation methods, which are applicable even when the numb
Externí odkaz:
http://arxiv.org/abs/2409.09355
We obtain an asymptotic normality result that reveals the precise asymptotic behavior of the maximum likelihood estimators of parameters for a very general class of linear mixed models containing cross random effects. In achieving the result, we over
Externí odkaz:
http://arxiv.org/abs/2409.05066
We establish an asymptotic theory that justifies the third method of removing unwanted variation (RUV-III) theoretically.
Comment: 26 pages, 9 figures. Submitted to Annals of Statistics
Comment: 26 pages, 9 figures. Submitted to Annals of Statistics
Externí odkaz:
http://arxiv.org/abs/2310.01918
Publikováno v:
In Ocean Engineering 1 July 2024 303
We study variance estimation and associated confidence intervals for parameters characterizing genetic effects from genome-wide association studies (GWAS) misspecified mixed model analysis. Previous studies have shown that, in spite of the model miss
Externí odkaz:
http://arxiv.org/abs/2101.06638
Autor:
Wen, Faguang1,2 (AUTHOR) 201711778@mail.sdu.edu.cn, Jiang, Jiming3 (AUTHOR), Luan, Yihui1 (AUTHOR) yhluan@sdu.edu.cn
Publikováno v:
Mathematics (2227-7390). Mar2024, Vol. 12 Issue 5, p664. 21p.
Publikováno v:
In Progress in Nuclear Energy November 2023 165