This paper adopts a Bayesian strategy for generalized ridge estimation for high-dimensional regression. We also consider significance testing based on the ...
PDF | This paper adopts a Bayesian strategy for generalized ridge estimation for high-dimensional regression. We also consider significance testing.
Jul 28, 2016 · This paper adopts a Bayesian strategy for generalized ridge estimation for high-dimensional regression. We also consider significance ...
This paper adopts a Bayesian strategy for generalized ridge estimation for high-dimensional regression. We also consider significance testing based on the ...
A Bayesian approach with generalized ridge estimation for high-dimensional regression and testing. https://doi.org/10.1080/03610918.2016.1193195 · Full text.
May 29, 2024 · R/X.mat.R. In g.ridge: Generalized Ridge Regression for Linear Models. Defines functions X.mat. Documented in X.mat.
Dec 7, 2023 · Yang SP, Emura T (2017) A Bayesian approach with generalized ridge estimation for high-dimensional regression and testing, Commun Stat-Simul 46( ...
A Bayesian approach with generalized ridge estimation for high-dimensional regression and testing · xml · Szu-Peng Yang & Takeshi Emura. Pages: 6083-6105.
Therefore we can think of RKHS regression as generalizing ridge regression, by replacing the standard linear inner product with a general kernel. (Indeed,. RKHS ...
Missing: testing. | Show results with:testing.
Yang SP, Emura T (2017) A Bayesian approach with generalized ridge estimation for high-dimensional regression and testing, Commun Stat-Simul 46(8): 6083-105.