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Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Model-free conditional screening for ultrahigh-dimensional survival data via conditional distance correlation
条件距离 相关性 超高维 生存数据 无模型 条件筛选
2023/5/4
How to select the active variables which have significant impact on the event of interest is a very important and meaningful problem in the statistical analysis of ultrahigh-dimensional data. In many ...
A method for screening active effects in supersaturated designs
screening active supersaturated designs
2015/3/20
A method for screening active effects in supersaturated designs.
A method for screening active effects in supersaturated designs
Mixed-level Partial least-squares Supersaturated design
2015/3/18
A sup ersaturated design (SSD) is a design whose run size is not enough for estimating all the main effects. The goal in conducting such a design is to identify,
presumably only a few, relatively dom...
Conditional Sure Independence Screening
False selection rate Generalized linear models Sparsity Sure screening Variable selection
2012/6/21
Independence screening is a powerful method for variable selection for `Big Data' when the number of variables is massive. Commonly used independence screening methods are based on marginal correlatio...