WebThis framework of two-scale statistical learning, consisting of large-scale screening followed by moderate-scale variable selection introduced in Fan and Lv (2008), has been extensively investigated and extended to various model settings ranging from parametric to … WebJianqing Fan and Jinchi Lv (2008) pointed out that regularity conditions may fail with SIS in some cases, so they Iterated SIS (ISIS) using subsamples procedure to process these cases. Subsampling performs false selection rate for controlling inclusion noise variables …
Sure independence screening for ultrahigh dimensional …
WebWithin the context of the linear model, Fan and Lv (2008) showed that this simple correlation ranking possesses a sure independence screening property under certain conditions and that its revision, called iteratively sure independent screening (ISIS), is … http://faculty.marshall.usc.edu/yingying-fan/ escape from tarkov daily quests
Feature Screening via Distance Correlation Learning
WebMay 15, 2024 · This framework of two-scale statistical learning, consisting of large-scale screening followed by moderate-scale variable selection introduced in Fan and Lv (2008), has been extensively investigated and extended to various model settings ranging from parametric to semiparametric and nonparametric for regression, classification, and … WebOct 3, 2008 · In a fairly general asymptotic framework, correlation learning is shown to have the sure screening property for even exponentially growing dimensionality. As a methodological extension, iterative sure independence screening is also proposed to … WebFan, Fan and Lv (2008). Sparsity arises in many scientific endeavors. In genomic studies, it is gener-ally believed that only a fraction of molecules are related to biological outcomes. For example, in disease classification, it is commonly believed that only tens of genes are responsible for a disease. Selecting tens of genes helps not only ... fingertips always cold