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检索条件"主题词=sure screening property"
7 条 记 录,以下是1-10 订阅
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Feature screening for High-Dimensional Survival Data via Censored Quantile Correlation
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Journal of Systems Science & Complexity 2021年 第3期34卷 1207-1224页
作者: XU Kai HUANG Xudong School of Mathematics and Statistics Anhui Normal UniversityWuhu 241002China
This paper proposes a new sure independence screening procedure for high-dimensional survival data based on censored quantile correlation(CQC).This framework has two distinctive features:1)Via incorporating a weightin... 详细信息
来源: 维普期刊数据库 维普期刊数据库 同方期刊数据库 同方期刊数据库 评论
Stable correlation and robust feature screening
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Science China Mathematics 2022年 第1期65卷 153-168页
作者: Xu Guo Runze Li Wanjun Liu Lixing Zhu School of Statistics Beijing Normal UniversityBeijing 100875China Department of Statistics Pennsylvania State UniversityUniversity ParkPA 16802-2111USA Center for Statistics and Data Science Beijing Normal UniversityZhuhai 519085China Department of Mathematics Hong Kong Baptist UniversityHong KongChina
In this paper,we propose a new correlation,called stable correlation,to measure the dependence between two random *** new correlation is well defined without the moment condition and is zero if and only if the two ran... 详细信息
来源: 维普期刊数据库 维普期刊数据库 同方期刊数据库 同方期刊数据库 评论
Feature selection of ultrahigh-dimensional covariates with survival outcomes:a selective review
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Applied Mathematics(A Journal of Chinese Universities) 2017年 第4期32卷 379-396页
作者: HONG Hyokyoung Grace LI Yi Department of Statistics and Probability Michigan State University Department of Biostatistics University of Michigan
Many modern biomedical studies have yielded survival data with high-throughput *** goals of scientific research often lie in identifying predictive biomarkers,understanding biological mechanisms and making accurate an... 详细信息
来源: 维普期刊数据库 维普期刊数据库 同方期刊数据库 同方期刊数据库 评论
Robust sure Independence screening for Ultrahigh Dimensional Non-normal Data
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Acta Mathematica Sinica,English Series 2014年 第11期30卷 1885-1896页
作者: Wei ZHONG Wang Yanan Institute for Studies in Economics Department of StatisticsSchool of EconomicsXiamen University
sure independence screening(SIS) has been proposed to reduce the ultrahigh dimensionality down to a moderate scale and proved to enjoy the sure screening property under Gaussian linear ***,the observed response is o... 详细信息
来源: 维普期刊数据库 维普期刊数据库 同方期刊数据库 同方期刊数据库 评论
A selective overview of feature screening for ultrahigh-dimensional data
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Science China Mathematics 2015年 第10期58卷 2033-2054页
作者: LIU JingYuan ZHONG Wei LI RunZe Department of Statistics School of Economics Xiamen University Wang Yanan Institute for Studies in Economics Xiamen University Fujian Key Laboratory of Statistical Science Xiamen University Department of Statistics and The Methodology Center Pennsylvania State UniversityUniversity Park
High-dimensional data have frequently been collected in many scientific areas including genomewide association study, biomedical imaging, tomography, tumor classifications, and finance. Analysis of highdimensional dat... 详细信息
来源: 维普期刊数据库 维普期刊数据库 同方期刊数据库 同方期刊数据库 评论
Group screening for ultra-high-dimensional feature under linear model
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Statistical Theory and Related Fields 2020年 第1期4卷 43-54页
作者: Yong Niu Riquan Zhang Jicai Liu Huapeng Li School of Statistics East China Normal UniversityShanghaiPeople’s Republic of China Department of Mathematics and Physics Hefei UniversityHefeiPeople’s Republic of China Department of Mathematics Shanghai Normal UniversityShanghaiPeople’s Republic of China
Ultra-high-dimensional data with grouping structures arise naturally in many contemporary statistical problems,such as gene-wide association studies and the multi-factor analysis-of-variance(ANOVA).To address this iss... 详细信息
来源: 维普期刊数据库 维普期刊数据库 评论
Censored Composite Conditional Quantile screening for High-Dimensional Survival Data
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应用概率统计 2024年 第5期40卷 783-799页
作者: LIU Wei LI Yingqiu College of Mathematics and Statistics Hunan University of Finance and EconomicsChangsha410205China School of Mathematics and Statistics Changsha University of Science and TechnologyChangsha410114China
In this paper,we introduce the censored composite conditional quantile coefficient(cC-CQC)to rank the relative importance of each predictor in high-dimensional censored *** cCCQC takes advantage of all useful informat... 详细信息
来源: 维普期刊数据库 维普期刊数据库 同方期刊数据库 同方期刊数据库 评论