Statistical Challenges with High Dimensionality: Feature Selection in Knowledge Discovery

Jianqing Fan, Runze Li

Type: Preprint

Publication Date: 2006-01-01

Citations: 274

DOI: https://doi.org/10.48550/arxiv.math/0602133

View Publication

Locations

arXiv (Cornell University) - View
DataCite API - View

Similar Works

Action	Title	Year	Authors
+	Statistical challenges with high dimensionality: feature selection in knowledge discovery	2007	Jianqing Fan Runze Li
+	A Selective Overview of Variable Selection in High Dimensional Feature Space.	2010	Jianqing Fan Jinchi Lv
+	A Selective Overview of Variable Selection in High Dimensional Feature Space (Invited Review Article)	2009	Jianqing Fan Jinchi Lv
+	A selective overview of feature screening for ultrahigh-dimensional data	2015	Jingyuan Liu Wei Zhong Runze Li
+	Variable selection via combined penalization for high-dimensional data analysis	2010	Xiaoming Wang Taesung Park Keumhee C. Carrière
+	Significance testing for variable selection in high-dimension	2015	Jean-Michel Bécu Christophe Ambroise Yves Grandvalet Cyril Dalmasso
+	Model selection for high-dimensional data	2016	Arash Owrang Magnus Jansson
+	Variable Selection Approaches in High-Dimensional Space	2021	Bin Luo Qian Yang Susan Halabi
+	High-Dimensional Models: Structuring and Selection of Predictors	2016	Gerhard Tutz Matthias Schmid
+	Reproducible large-scale inference in high-dimensional nonlinear models	2019	Emre Demirkaya
+	Applications of penalized likelihood methods for feature selection in statistical modeling	2012	Xu Chen
+	Bayesian model selection for high-dimensional data	2020	Naveen N. Narisetty
+	Variable Selection and Prediction in Messy'' High-Dimensional Data"	2017	Benjamin Brown
+ PDF Chat	A selective review of robust variable selection with applications in bioinformatics	2014	Cen Wu Shuangge Ma
+	Variable selection using Lq penalties	2014	QiaoXingye
+	Feature Selection in High-Dimensional Classification	2013	Mladen Kolar Han Liu
+	Development of Two Methods for Estimating High-Dimensional Data in the Case of Multicollinearity and Outliers	2024	Ahmed A. El-Sheikh Md. Sadek Ali Mohamed R. Abonazel
+	Empirical bayes variable selection in high-dimensional regression	2012	Vitara Pungpapong
+	Model Selection and Estimation for High-dimensional Data Analysis	2019	Chenglong Ye
+ PDF Chat	Feature selection in omics prediction problems using cat scores and false nondiscovery rate control	2010	Miika Ahdesmäki Korbinian Strimmer

Works That Cite This (173)

Action	Title	Year	Authors
+	Profile forward regression screening for ultra-high dimensional semiparametric varying coefficient partially linear models	2016	Yujie Li Gaorong Li Heng Lian Tiejun Tong
+ PDF Chat	Regularized bridge-type estimation with multiple penalties	2020	Alessandro De Gregorio Francesco Iafrate
+ PDF Chat	Sure Independence Screening for Ultrahigh Dimensional Feature Space	2008	Jianqing Fan Jinchi Lv
+ PDF Chat	On the “degrees of freedom” of the lasso	2007	Hui Zou Trevor Hastie Robert Tibshirani
+ PDF Chat	Shrinkage Tuning Parameter Selection with a Diverging number of Parameters	2008	Hansheng Wang Bo Li Chenlei Leng
+	CoCoLasso for high-dimensional error-in-variables regression	2017	Abhirup Datta Hui Zou
+ PDF Chat	One-step sparse estimates in nonconcave penalized likelihood models	2008	Hui Zou Runze Li
+	To how many simultaneous hypothesis tests can normal, Student's t or bootstrap calibration be applied?	2007	Jianqing Fan P. Hall Qiwei Yao
+ PDF Chat	ADAPTIVE LASSO-TYPE ESTIMATION FOR MULTIVARIATE DIFFUSION PROCESSES	2012	Alessandro De Gregorio Stefano M. Iacus
+	Variable selection via combined penalization for high-dimensional data analysis	2010	Xiaoming Wang Taesung Park Keumhee C. Carrière

Works Cited by This (42)

Action	Title	Year	Authors
+ PDF Chat	On the distribution of the largest eigenvalue in principal components analysis	2001	Iain M. Johnstone
+ PDF Chat	The control of the false discovery rate in multiple testing under dependency	2001	Yoav Benjamini Daniel Yekutieli
+	Discussion of Boosting Papers	2003	Jerome H. Friedman Trevor Hastie Saharon Rosset Robert Tibshirani Ji Zhu
+	Large-Scale Simultaneous Hypothesis Testing	2004	Bradley Efron
+	Wavelet Shrinkage: Asymptopia?	1995	David L. Donoho Iain M. Johnstone Gérard Kerkyacharian Dominique Picard
+ PDF Chat	A Gradient Algorithm Locally Equivalent to the Em Algorithm	1995	Kenneth Lange
+	Regularization of Wavelet Approximations	2001	Anestis Antoniadis Jianqing Fan
+ PDF Chat	Algebraic algorithms for sampling from conditional distributions	1998	Persi Diaconis Bernd Sturmfels
+ PDF Chat	Multiresolution approximations and wavelet orthonormal bases of 𝐿²(𝑅)	1989	Stéphane Mallat
+ PDF Chat	The Risk Inflation Criterion for Multiple Regression	1994	Dean P. Foster Edward I. George