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제목 [학술세미나] [학과세미나] 11월 5일(월) 16시 특별세미나 안내
작성일 2018-11-01 14:49:19
내용 [학과세미나] 11월 5일(월) 특별세미나 안내

▪제목 : Feature selection with survival outcome data
▪연사 : 홍효경 (Michigan State University)
▪일시 : 2018년 11월 5일(월) PM 16:00 – 19:00
▪장소 : 25동 405호
 
초 록
 
Detecting biomarkers that are relevant to patients' survival outcome is crucial for precision medicine. Dimension reduction is key in the process. Although regularization methods have been used for dimension reduction, they cannot handle a large number of candidate biomarkers generated by modern bio-techniques. Variable screening, which has been widely used for handling exceedingly large numbers of variables, is however much underdeveloped for censored outcome data. This talk introduces a series of new feature screening procedures that I have recently developed for survival data with ultrahigh dimensional covariates. These methods include conditional screening, integrated powered density (IPOD) screening, $L_q$-norm learning, and forward regression with partial likelihood. I will discuss the intuition behind and demonstrate their utilities through real data analyses.


▪제목 : Multiclass Linear Discriminant Analysis with Ultrahigh-Dimensional Features
▪연사 : Yi Li (University of Michigan)
▪일시 : 2018년 11월 5일(월) PM 16:00 – 19:00
▪장소 : 25동 405호
 
초 록
 
This talk introduces a multiclass classification method, which embeds variable screening for ultrahigh-dimensional predictors within the framework of Fisher’s discriminant analysis. Leveraging inter-feature correlations, we show that the proposed linear classifier recovers informative features with probability tending to one and can achieve zero misclassification rate asymptotically. We evaluate the finite sample performance of the method via extensive simulations and use this method to classify post-transplantation rejection types based on patients’ gene expressions.
 
파일 세미나 안내_181105_홍효경.hwp [14KB]
세미나 안내_181105_Yi Li.hwp [12.5KB]