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加性模型中的不相干条件

The incoherence condition in additive models
课程网址: http://videolectures.net/sip08_geer_ticiam/  
主讲教师: Sara van de Geer
开课单位: 苏黎世联邦理工学院
开课时间: 2008-12-18
课程语种: 英语
中文简介:
我们将使用套索进行正则化的思想扩展到具有p个成分的加性模型(p大于样本大小n)的情况。我们的方法具有组Lasso型结构,并惩罚了加性模型中组件的非平滑性。为了平等地得出稀疏预言,我们需要一个不相干条件,该条件可以概括用于套索的不相干条件。 Bickel等。 (2008年)强加“受限特征值假设”,这与van de Geer(2007年)中的“兼容性条件”密切相关,我们简称为“条件C”。我们将为加性模型制定此类“条件C”的版本。为了验证这一点,我们讨论了随机设计的情况。我们证明了加权经验过程的新结果,这些结果使从随机设计到固定设计的转变成为可能,并且只需要总体版本“条件C”。结果是,当变量是独立的时,过程的稀疏oracle属性成立,并且还允许使用各种依赖结构。
课程简介: We extend the idea of regularization using the Lasso, to the case of an additive model with p components, p being larger than the sample size n. Our method has a group Lasso type structure, and penalizes non-smoothness of the components in the additive model. To arrive at a sparsity oracle in- equality, we need an incoherence condition which generalizes the incoherence conditions used for the Lasso. Bickel et al. (2008) impose the “restricted eigenvalue assumption”, which is closely related to the “compatibility con- dition” in van de Geer (2007), which we simply call “Condition C”. We will formulate a version of such a “Condition C” for additive models. To verify it, we discuss the case of random design. We prove new results for weighted empirical processes, which make the transition from random to fixed design possible, and which only requires a population version of “Condition C”. A consequence is that the sparsity oracle property of our procedure holds when the variables are independent,andthatalsovariousdependencystructuresare allowed.
关 键 词: 正则化; 加性模型; 非平滑性
课程来源: 视频讲座网
最后编审: 2019-09-21:cwx
阅读次数: 148