论文标题
非比例的赔率模型是可以广泛的 - 基于参数和添加位置转移方法的稀疏建模
Non Proportional Odds Models are Widely Dispensable -- Sparser Modeling based on Parametric and Additive Location-Shift Approaches
论文作者
论文摘要
研究了位置迁移模型在比例赔率模型和非比例赔率模型之间找到足够模型的潜力。证明这些模型在序数建模中非常有用。虽然比例赔率模型通常太简单了，但非比例赔率模型通常不必要复杂，而且似乎是可分配的。还扩展了位置档模型，以允许光滑的效果。加性位置转移模型包含每个解释变量的两个功能，一个用于该位置，一个用于分散。它比具有特定于类别的协变量功能的难以处理的添加剂模型要稀疏得多，但比共同的矢量广义加性模型更灵活。
The potential of location-shift models to find adequate models between the proportional odds model and the non-proportional odds model is investigated. It is demonstrated that these models are very useful in ordinal modeling. While proportional odds models are often too simple, non proportional odds models are typically unnecessary complicated and seem widely dispensable. The class of location-shift models is also extended to allow for smooth effects. The additive location-shift model contains two functions for each explanatory variable, one for the location and one for dispersion. It is much sparser than hard-to-handle additive models with category-specific covariate functions but more flexible than common vector generalized additive models.
