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Theory and Methods

Model-Free Feature Screening for Ultrahigh Dimensional Discriminant Analysis

Pages 630-641 | Received 01 Jul 2013, Published online: 06 Jul 2015

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Jinhan Xie, Meiling Hao, Wenxin Liu & Yuanyuan Lin. (2020) Fused variable screening for massive imbalanced data. Computational Statistics & Data Analysis 141, pages 94-108.
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Jinhu Lü & Pei WangJinhu Lü & Pei Wang. 2020. Modeling and Analysis of Bio-molecular Networks. Modeling and Analysis of Bio-molecular Networks 429 459 .
Jinhu Lü & Pei WangJinhu Lü & Pei Wang. 2020. Modeling and Analysis of Bio-molecular Networks. Modeling and Analysis of Bio-molecular Networks 53 105 .
Wanjun Liu & Runze Li. 2020. Macroeconomic Forecasting in the Era of Big Data. Macroeconomic Forecasting in the Era of Big Data 293 326 .
Hengjian Cui & Wei Zhong. (2019) A distribution-free test of independence based on mean variance index. Computational Statistics & Data Analysis 139, pages 117-133.
Crossref
Qingyang Zhang. (2019) A Class of Association Measures for Categorical Variables Based on Weighted Minkowski Distance. Entropy 21:10, pages 990.
Crossref
Yang Liu, Wei Sun, Alexander P Reiner, Charles Kooperberg & Qianchuan He. (2019) Statistical inference of genetic pathway analysis in high dimensions. Biometrika 106:3, pages 651-651.
Crossref
Yong He, Liang Zhang, Jiadong Ji & Xinsheng Zhang. (2019) Robust feature screening for elliptical copula regression model. Journal of Multivariate Analysis 173, pages 568-582.
Crossref
Baoying Yang, Xiangrong Yin & Nan Zhang. (2019) Sufficient variable selection using independence measures for continuous response. Journal of Multivariate Analysis 173, pages 480-493.
Crossref
Shengmei He, Shuangge Ma & Wangli Xu. (2019) A modified mean-variance feature-screening procedure for ultrahigh-dimensional discriminant analysis. Computational Statistics & Data Analysis 137, pages 155-169.
Crossref
Ahmad Gharanjik, Mojtaba Soltanalian, M. R. Bhavani Shankar & Björn Ottersten. (2019) Grab-n-Pull: A max-min fractional quadratic programming framework with applications in signal and information processing. Signal Processing 160, pages 1-12.
Crossref
Niansheng Tang, Linli Xia & Xiaodong Yan. (2019) Feature screening in ultrahigh-dimensional partially linear models with missing responses at random. Computational Statistics & Data Analysis 133, pages 208-227.
Crossref
Ying Sheng & Qihua Wang. (2019) Simultaneous variable selection and class fusion with penalized distance criterion based classifiers. Computational Statistics & Data Analysis 133, pages 138-152.
Crossref
Kevin He, Han Xu & Jian Kang. (2018) A selective overview of feature screening methods with applications to neuroimaging data. WIREs Computational Statistics 11:2.
Crossref
Kai Xu & Xudong Huang. (2018) Conditional-quantile screening for ultrahigh-dimensional survival data via martingale difference correlation. Science China Mathematics 61:10, pages 1907-1922.
Crossref
Seungchul Baek, Osamu Komori & Yanyuan Ma. (2018) An Optimal Semiparametric Method for Two‐group Classification. Scandinavian Journal of Statistics 45:3, pages 806-846.
Crossref
L Weihs, M Drton & N Meinshausen. (2018) Symmetric rank covariances: a generalized framework for nonparametric measures of dependence. Biometrika 105:3, pages 547-562.
Crossref
Yuanyuan Lin, Xianhui Liu & Meiling Hao. (2018) Model-free feature screening for high-dimensional survival data. Science China Mathematics 61:9, pages 1617-1636.
Crossref
Jun Zhang & Heng Lian. (2017) Partially Linear Additive Models with Unknown Link Functions. Scandinavian Journal of Statistics 45:2, pages 255-282.
Crossref
Xiaodong Yan, Niansheng Tang, Jinhan Xie, Xianwen Ding & Zhiqiang Wang. (2018) Fused mean–variance filter for feature screening. Computational Statistics & Data Analysis 122, pages 18-32.
Crossref
Jianqing Fan & Jinchi Lv. 2014. Wiley StatsRef: Statistics Reference Online. Wiley StatsRef: Statistics Reference Online 1 8 .
Qian Lin, Zhigen Zhao & Jun S. Liu. (2018) On consistency and sparsity for sliced inverse regression in high dimensions. The Annals of Statistics 46:2.
Crossref
Qian Lin, Yang Li & Jun S. Liu. 2018. Handbook of Big Data Analytics. Handbook of Big Data Analytics 301 323 .
Jian KangHyokyoung G Hong & Yi Li. (2017) Partition-based ultrahigh-dimensional variable screening. Biometrika 104:4, pages 785-800.
Crossref
Lyu Ni, Fang Fang & Fangjiao Wan. (2017) Adjusted Pearson Chi-Square feature screening for multi-classification with ultrahigh dimensional data. Metrika 80:6-8, pages 805-828.
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Xingxiang Li, Guosheng Cheng, Liming Wang, Peng Lai & Fengli Song. (2017) Ultrahigh dimensional feature screening via projection. Computational Statistics & Data Analysis 114, pages 88-104.
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Peng Lai, Fengli Song, Kaiwen Chen & Zhi Liu. (2017) Model free feature screening with dependent variable in ultrahigh dimensional binary classification. Statistics & Probability Letters 125, pages 141-148.
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Yujie Li, Gaorong Li, Heng Lian & Tiejun Tong. (2017) Profile forward regression screening for ultra-high dimensional semiparametric varying coefficient partially linear models. Journal of Multivariate Analysis 155, pages 133-150.
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Xin-Bing Kong, Zhi Liu, Yuan Yao & Wang Zhou. (2016) Sure screening by ranking the canonical correlations. TEST 26:1, pages 46-70.
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LuHeng Wang, JingYuan Liu, Yong Li & RunZe Li. (2016) Model-free conditional independence feature screening for ultrahigh dimensional data. Science China Mathematics 60:3, pages 551-568.
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Peng Lai, Yiming Liu, Zhi Liu & Yi Wan. (2017) Model free feature screening for ultrahigh dimensional data with responses missing at random. Computational Statistics & Data Analysis 105, pages 201-216.
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Zhou Yu, Yuexiao Dong & Jun Shao. (2016) On marginal sliced inverse regression for ultrahigh dimensional model-free feature selection. The Annals of Statistics 44:6.
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Li Shao, Yuan Yu & Yong Zhou. (2016) Sure feature screening for high-dimensional dichotomous classification. Science China Mathematics 59:12, pages 2527-2542.
Crossref
JingYuan Liu, Wei Zhong & RunZe Li. (2015) A selective overview of feature screening for ultrahigh-dimensional data. Science China Mathematics 58:10, pages 1-22.
Crossref

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