A new generalized ridge regression shrinkage path is proposed that is as short as possible under the restriction that it must pass through the vector of regression coefficient estimators that make the overall Optimal Variance-Bias Trade-Off under Normal distribution-theory. Five distinct types of ridge TRACE displays plus other graphics for this efficient path are motivated and illustrated here. These visualizations provide invaluable data-analytic insights and improved self-confidence to researchers and data scientists fitting linear models to ill-conditioned (confounded) data.
翻译:提出了一条尽可能短的新的普遍脊脊回归缩缩路径,其限制是,这条路径必须经过回归系数估测器的矢量,从而在正常分布理论下形成总体最佳差异-比亚交易-在正常分布理论下实现。 五个不同类型的脊脊TRACE显示器以及这一有效路径的其他图形在这里受到激励和演示。 这些可视化为研究人员和数据科学家提供了宝贵的数据分析见解,提高了他们的信心,使他们将线性模型与条件不完善的(有根据的)数据相匹配。