Citations (146)
Keep up to date with the latest research on this topic with citation updates for this article.
Read on this site (42)
Mohammad Kazemi. (2024) Support vector machine in ultrahigh-dimensional feature space. Journal of Statistical Computation and Simulation 94:3, pages 517-535.
Read now
Read now
Liying Zou, Yi Liu & Zhonghu Zhang. (2024) Adjusted feature screening for ultra-high dimensional missing response. Journal of Statistical Computation and Simulation 94:3, pages 460-483.
Read now
Read now
Wei Xiong, Maozai Tian, Manlai Tang & Han Pan. (2023) Robust and sparse learning of varying coefficient models with high-dimensional features. Journal of Applied Statistics 50:16, pages 3312-3336.
Read now
Read now
Wei Zhong, Zhuoxi Li, Wenwen Guo & Hengjian Cui. (2023) Semi-Distance Correlation and Its Applications. Journal of the American Statistical Association 0:0, pages 1-15.
Read now
Read now
Tao Li, Jun Yu & Cheng Meng. (2023) Scalable Model-Free Feature Screening via Sliced-Wasserstein Dependency. Journal of Computational and Graphical Statistics 32:4, pages 1501-1511.
Read now
Read now
Zhaoxue Tong, Zhanrui Cai, Songshan Yang & Runze Li. (2023) Model-Free Conditional Feature Screening with FDR Control. Journal of the American Statistical Association 118:544, pages 2575-2587.
Read now
Read now
Lixia Zhang & Xuguang Song. (2023) Ultrahigh dimensional single index model estimation via refitted cross-validation. Communications in Statistics - Theory and Methods 0:0, pages 1-26.
Read now
Read now
Jianqing Fan, Zhipeng Lou & Mengxin Yu. (2023) Are Latent Factor Regression and Sparse Regression Adequate?. Journal of the American Statistical Association 0:0, pages 1-13.
Read now
Read now
Mingqiu Wang, Xiaoning Kang & Guo-Liang Tian. (2022) Modified adaptive group lasso for high-dimensional varying coefficient models. Communications in Statistics - Simulation and Computation 51:11, pages 6495-6510.
Read now
Read now
Weidong Ma, Jingsong Xiao, Ying Yang & Fei Ye. (2022) Model-free feature screening for ultrahigh dimensional data via a Pearson chi-square based index. Journal of Statistical Computation and Simulation 92:15, pages 3222-3248.
Read now
Read now
Yujie Liao, Jingyuan Liu, Donna L. Coffman & Runze Li. (2022) Varying Coefficient Mediation Model and Application to Analysis of Behavioral Economics Data. Journal of Business & Economic Statistics 40:4, pages 1759-1771.
Read now
Read now
Debmalya Nandy, Francesca Chiaromonte & Runze Li. (2022) Covariate Information Number for Feature Screening in Ultrahigh-Dimensional Supervised Problems. Journal of the American Statistical Association 117:539, pages 1516-1529.
Read now
Read now
Zili Liu & Zikang Xiong. (2022) Non-marginal feature screening for additive hazard model with ultrahigh-dimensional covariates. Communications in Statistics - Theory and Methods 51:6, pages 1876-1894.
Read now
Read now
Jialiang Li, Jing Lv, Alan T. K. Wan & Jun Liao. (2022) AdaBoost Semiparametric Model Averaging Prediction for Multiple Categories. Journal of the American Statistical Association 117:537, pages 495-509.
Read now
Read now
Wanjun Liu, Yuan Ke, Jingyuan Liu & Runze Li. (2022) Model-Free Feature Screening and FDR Control With Knockoff Features. Journal of the American Statistical Association 117:537, pages 428-443.
Read now
Read now
M. Kazemi, D. Shahsavani, M. Arashi & P. C. Rodrigues. (2021) Estimation in partial linear model with spline modal function. Communications in Statistics - Simulation and Computation 50:11, pages 3256-3272.
Read now
Read now
Jia Chen, Degui Li, Lingling Wei & Wenyang Zhang. (2021) Nonparametric homogeneity pursuit in functional-coefficient models. Journal of Nonparametric Statistics 33:3-4, pages 387-416.
Read now
Read now
Xinyi Li, Li Wang & Huixia Judy Wang. (2021) Sparse Learning and Structure Identification for Ultrahigh-Dimensional Image-on-Scalar Regression. Journal of the American Statistical Association 116:536, pages 1994-2008.
Read now
Read now
Shuiyun Lu, Xiaolin Chen & Hong Wang. (2021) Conditional distance correlation sure independence screening for ultra-high dimensional survival data. Communications in Statistics - Theory and Methods 50:8, pages 1936-1953.
Read now
Read now
Fode Zhang, Rui Li, Heng Lian & Dipankar Bandyopadhyay. (2021) Sparse reduced-rank regression for multivariate varying-coefficient models. Journal of Statistical Computation and Simulation 91:4, pages 752-767.
Read now
Read now
Feifei Wang, Jingyuan Liu & Hansheng Wang. (2021) Sequential Text-Term Selection in Vector Space Models. Journal of Business & Economic Statistics 39:1, pages 82-97.
Read now
Read now
Xianli Gao & Qiang Liu. (2020) Sparsity identification in ultra-high dimensional quantile regression models with longitudinal data. Communications in Statistics - Theory and Methods 49:19, pages 4712-4736.
Read now
Read now
Peng Lai, Weijuan Liang, Fangjian Wang & Qingzhao Zhang. (2020) Feature screening of quadratic inference functions for ultrahigh dimensional longitudinal data. Journal of Statistical Computation and Simulation 90:14, pages 2614-2630.
Read now
Read now
Kai Xu, Zhiling Shen, Xudong Huang & Qing Cheng. (2020) Projection correlation between scalar and vector variables and its use in feature screening with multi-response data. Journal of Statistical Computation and Simulation 90:11, pages 1923-1942.
Read now
Read now
Shishi Liu, Xiangjie Li & Jingxiao Zhang. (2020) Ultrahigh dimensional feature screening for additive model with multivariate response. Journal of Statistical Computation and Simulation 90:5, pages 775-799.
Read now
Read now
Efang Kong, Yingcun Xia & Wei Zhong. (2019) Composite Coefficient of Determination and Its Application in Ultrahigh Dimensional Variable Screening. Journal of the American Statistical Association 114:528, pages 1740-1751.
Read now
Read now
M. Kazemi, D. Shahsavani & M. Arashi. (2019) A sure independence screening procedure for ultra-high dimensional partially linear additive models. Journal of Applied Statistics 46:8, pages 1385-1403.
Read now
Read now
Zhaoliang Wang & Liugen Xue. (2019) Variance estimation for sparse ultra-high dimensional varying coefficient models. Communications in Statistics - Theory and Methods 48:5, pages 1270-1283.
Read now
Read now
Jing Pan, Shucong Zhang & Yong Zhou. (2019) Variable screening for ultrahigh dimensional censored quantile regression. Journal of Statistical Computation and Simulation 89:3, pages 395-413.
Read now
Read now
Fengli Song, Peng Lai, Baohua Shen & Guosheng Cheng. (2018) Variance ratio screening for ultrahigh dimensional discriminant analysis. Communications in Statistics - Theory and Methods 47:24, pages 6034-6051.
Read now
Read now
Xiaolin Chen. (2018) Model-free conditional feature screening for ultra-high dimensional right censored data. Journal of Statistical Computation and Simulation 88:12, pages 2425-2446.
Read now
Read now
Jia Chen, Degui Li, Oliver Linton & Zudi Lu. (2018) Semiparametric Ultra-High Dimensional Model Averaging of Nonlinear Dynamic Time Series. Journal of the American Statistical Association 113:522, pages 919-932.
Read now
Read now
Kejun He, Heng Lian, Shujie Ma & Jianhua Z. Huang. (2018) Dimensionality Reduction and Variable Selection in Multivariate Varying-Coefficient Models With a Large Number of Covariates. Journal of the American Statistical Association 113:522, pages 746-754.
Read now
Read now
Yi Liu & Xiaolin Chen. (2018) Quantile screening for ultra-high-dimensional heterogeneous data conditional on some variables. Journal of Statistical Computation and Simulation 88:2, pages 329-342.
Read now
Read now
Min Chen, Yimin Lian, Zhao Chen & Zhengjun Zhang. (2017) Sure explained variability and independence screening. Journal of Nonparametric Statistics 29:4, pages 849-883.
Read now
Read now
Tao Wang, Lin Zheng, Zhonghua Li & Haiyang Liu. (2017) A robust variable screening method for high-dimensional data. Journal of Applied Statistics 44:10, pages 1839-1855.
Read now
Read now
Shujie Ma, Runze Li & Chih-Ling Tsai. (2017) Variable Screening via Quantile Partial Correlation. Journal of the American Statistical Association 112:518, pages 650-663.
Read now
Read now
Xuejun Ma, Xin Chen & Jingxiao Zhang. (2017) Fast robust feature screening for ultrahigh-dimensional varying coefficient models. Journal of Statistical Computation and Simulation 87:4, pages 724-732.
Read now
Read now
Lyu Ni & Fang Fang. (2016) Entropy-based model-free feature screening for ultrahigh-dimensional multiclass classification. Journal of Nonparametric Statistics 28:3, pages 515-530.
Read now
Read now
Ming-Yen Cheng, Toshio Honda & Jin-Ting Zhang. (2016) Forward Variable Selection for Sparse Ultra-High Dimensional Varying Coefficient Models. Journal of the American Statistical Association 111:515, pages 1209-1221.
Read now
Read now
Hengjian Cui, Runze Li & Wei Zhong. (2015) Model-Free Feature Screening for Ultrahigh Dimensional Discriminant Analysis. Journal of the American Statistical Association 110:510, pages 630-641.
Read now
Read now
Danyang Huang, Runze Li & Hansheng Wang. (2014) Feature Screening for Ultrahigh Dimensional Categorical Data With Applications. Journal of Business & Economic Statistics 32:2, pages 237-244.
Read now
Read now
Articles from other publishers (104)
Gang Xu, Amei Amei, Weimiao Wu, Yunqing Liu, Linchuan Shen, Edwin C. Oh & Zuoheng Wang. (2024) Retrospective varying coefficient association analysis of longitudinal binary traits: Application to the identification of genetic loci associated with hypertension. The Annals of Applied Statistics 18:1.
Crossref
Crossref
Jingyuan Liu, Ao Sun & Yuan Ke. (2024) A generalized knockoff procedure for FDR control in structural change detection. Journal of Econometrics 239:2, pages 105331.
Crossref
Crossref
Qingqing Jiang & Guangming Deng. (2024) Ultra-high-dimensional feature screening of binary categorical response data based on Jensen-Shannon divergence. AIMS Mathematics 9:2, pages 2874-2907.
Crossref
Crossref
Yuan Yang, Ziyang Pan, Jian Kang, Chad Brummett & Yi Li. (2023) Simultaneous Selection and Inference for Varying Coefficients with Zero Regions: A Soft-Thresholding Approach. Biometrics 79:4, pages 3388-3401.
Crossref
Crossref
Chenlu Ke, Wei Yang, Qingcong Yuan & Lu Li. (2023) Partial sufficient variable screening with categorical controls. Computational Statistics & Data Analysis 187, pages 107784.
Crossref
Crossref
Xiaotian Dai, Xuewen Lu & Thierry Chekouo. (2023) A Bayesian genomic selection approach incorporating prior feature ordering and population structures with application to coronary artery disease. Statistical Methods in Medical Research 32:8, pages 1616-1629.
Crossref
Crossref
Sweata Sen, Damitri Kundu & Kiranmoy Das. (2022) Variable selection for categorical response: a comparative study. Computational Statistics 38:2, pages 809-826.
Crossref
Crossref
Shuaishuai Chen & Jun Lu. (2023) Quantile-Composited Feature Screening for Ultrahigh-Dimensional Data. Mathematics 11:10, pages 2398.
Crossref
Crossref
Yi LiuGang Li. (2023) Sure Joint Screening for High Dimensional Cox's Proportional Hazards Model Under the Case-Cohort Design. Journal of Computational Biology 30:6, pages 663-677.
Crossref
Crossref
Wei Xiong, Yaxian Chen & Shuangge Ma. (2023) Unified model-free interaction screening via CV-entropy filter. Computational Statistics & Data Analysis 180, pages 107684.
Crossref
Crossref
Haofeng Wang, Hongxia Jin & Xuejun Jiang. (2023) Feature Selection for High-Dimensional Varying Coefficient Models via Ordinary Least Squares Projection. Communications in Mathematics and Statistics.
Crossref
Crossref
Lu Jun, Hu Qinqin & Lin Lu. (2022) Feature screening for multi-response ultrahigh-dimensional linear models by empirical likelihood. SCIENTIA SINICA Mathematica 53:3, pages 499.
Crossref
Crossref
Hengjian Cui, Feng Zou & Li Ling. (2023) Feature Screening and Error Variance Estimation for Ultrahigh-Dimensional Linear Model with Measurement Errors. Communications in Mathematics and Statistics.
Crossref
Crossref
Akira Shinkyu. (2021) Forward Selection for Feature Screening and Structure Identification in Varying Coefficient Models. Sankhya A 85:1, pages 485-511.
Crossref
Crossref
Peng Lai, Mingyue Wang, Fengli Song & Yanqiu Zhou. (2023) Feature screening for ultrahigh-dimensional binary classification via linear projection. AIMS Mathematics 8:6, pages 14270-14287.
Crossref
Crossref
Chenlu Ke. (2023) Sufficient variable screening with high-dimensional controls. Electronic Journal of Statistics 17:2.
Crossref
Crossref
Sarah J.C. Craig, Ana M. Kenney, Junli Lin, Ian M. Paul, Leann L. Birch, Jennifer S. Savage, Michele E. Marini, Francesca Chiaromonte, Matthew L. Reimherr & Kateryna D. Makova. (2023) Constructing a polygenic risk score for childhood obesity using functional data analysis. Econometrics and Statistics 25, pages 66-86.
Crossref
Crossref
Xiaochao Xia & Hao Ming. (2022) A Flexibly Conditional Screening Approach via a Nonparametric Quantile Partial Correlation. Mathematics 10:24, pages 4638.
Crossref
Crossref
Randall Reese, Guifang Fu, Geran Zhao, Xiaotian Dai, Xiaotian Li & Kenneth Chiu. (2022) Epistasis Detection via the Joint Cumulant. Statistics in Biosciences 14:3, pages 514-532.
Crossref
Crossref
Bing Tian, Zili Liu & Hong Wang. (2022) Non-marginal feature screening for varying coefficient competing risks model. Statistics & Probability Letters 190, pages 109648.
Crossref
Crossref
Shaofei Zhao & Guifang Fu. (2022) Distribution-free and model-free multivariate feature screening via multivariate rank distance correlation. Journal of Multivariate Analysis 192, pages 105081.
Crossref
Crossref
Jun Lu, Dan Wang & Qinqin Hu. (2022) Interaction screening via canonical correlation. Computational Statistics 37:5, pages 2637-2670.
Crossref
Crossref
Dongxiao Han, Jian Huang, Yuanyuan Lin & Guohao Shen. (2022) Robust post-selection inference of high-dimensional mean regression with heavy-tailed asymmetric or heteroskedastic errors. Journal of Econometrics 230:2, pages 416-431.
Crossref
Crossref
Yingli Pan. (2022) Feature screening and FDR control with knockoff features for ultrahigh-dimensional right-censored data. Computational Statistics & Data Analysis 173, pages 107504.
Crossref
Crossref
Liming Wang, Xingxiang Li, Xiaoqing Wang & Peng Lai. (2022) Unified mean-variance feature screening for ultrahigh-dimensional regression. Computational Statistics 37:4, pages 1887-1918.
Crossref
Crossref
Lianqiang Qu, Xiaoyu Wang & Liuquan Sun. (2022) Variable screening for varying coefficient models with ultrahigh-dimensional survival data. Computational Statistics & Data Analysis 172, pages 107498.
Crossref
Crossref
Yehua Li, Yumou Qiu & Yuhang Xu. (2022) From multivariate to functional data analysis: Fundamentals, recent developments, and emerging areas. Journal of Multivariate Analysis 188, pages 104806.
Crossref
Crossref
Christina Dan Wang, Zhao Chen, Yimin Lian & Min Chen. (2022) Asset selection based on high frequency Sharpe ratio. Journal of Econometrics 227:1, pages 168-188.
Crossref
Crossref
Shubhadeep Chakraborty & Ali Shojaie. (2022) Nonparametric Causal Structure Learning in High Dimensions. Entropy 24:3, pages 351.
Crossref
Crossref
Shengbin Zhou, Tao Wang & Yejin Huang. (2022) Feature Screening via Mutual Information Learning Based on Nonparametric Density Estimation. Journal of Mathematics 2022, pages 1-11.
Crossref
Crossref
Baoying Yang, Wenbo Wu & Xiangrong Yin. (2022) On sufficient variable screening using log odds ratio filter. Electronic Journal of Statistics 16:1.
Crossref
Crossref
Daoji Li, Yinfei Kong, Zemin Zheng & Jianxin Pan. 2022. The Palgrave Handbook of Operations Research. The Palgrave Handbook of Operations Research
805
834
.
Jing Zhang, Yanyan Liu & Hengjian Cui. (2020) Model-free feature screening via distance correlation for ultrahigh dimensional survival data. Statistical Papers 62:6, pages 2711-2738.
Crossref
Crossref
Jing Zhang, Haibo Zhou, Yanyan Liu & Jianwen Cai. (2021) Conditional screening for ultrahigh-dimensional survival data in case-cohort studies. Lifetime Data Analysis 27:4, pages 632-661.
Crossref
Crossref
Chaohui Guo, Jing Lv & Jibo Wu. (2021) Composite quantile regression for ultra-high dimensional semiparametric model averaging. Computational Statistics & Data Analysis 160, pages 107231.
Crossref
Crossref
Ning Li, Xiaoling Peng, Eric Kawaguchi, Marc A. Suchard & Gang Li. (2021)
A scalable surrogate
sparse regression method for generalized linear models with applications to large scale data
. Journal of Statistical Planning and Inference 213, pages 262-281.
Crossref
Crossref
Wei Zhong, Jiping Wang & Xiaolin Chen. (2021) Censored mean variance sure independence screening for ultrahigh dimensional survival data. Computational Statistics & Data Analysis 159, pages 107206.
Crossref
Crossref
Yi Liu, Jinfeng Xu & Gang Li. (2020) Sure joint feature screening in nonparametric transformation model for right censored data. Canadian Journal of Statistics 49:2, pages 549-565.
Crossref
Crossref
Lei Fan. (2021) An ensemble variable selection method based on conditional mutual information. An ensemble variable selection method based on conditional mutual information.
Jun Lu, Lu Lin & WenWu Wang. (2021) Partition-based feature screening for categorical data via RKHS embeddings. Computational Statistics & Data Analysis 157, pages 107176.
Crossref
Crossref
Adriano Zanin Zambom & Gregory J. Matthews. (2019) Sure independence screening in the presence of missing data. Statistical Papers 62:2, pages 817-845.
Crossref
Crossref
Toshio Honda. (2019) The de-biased group Lasso estimation for varying coefficient models. Annals of the Institute of Statistical Mathematics 73:1, pages 3-29.
Crossref
Crossref
Yalin Wang, Ling Li & Kai Wang. (2021) An online operating performance evaluation approach using probabilistic fuzzy theory for chemical processes with uncertainties. Computers & Chemical Engineering 144, pages 107156.
Crossref
Crossref
Xiaotian Dai, Guifang Fu & Randall Reese. (2020) Detecting PCOS susceptibility loci from genome-wide association studies via iterative trend correlation based feature screening. BMC Bioinformatics 21:1.
Crossref
Crossref
Shaogao Lv, Zengyan Fan, Heng Lian, Taiji Suzuki & Kenji Fukumizu. (2020) A reproducing kernel Hilbert space approach to high dimensional partially varying coefficient model. Computational Statistics & Data Analysis 152, pages 107039.
Crossref
Crossref
Qiang Hu, Liang Zhu, Yanyan Liu, Jianguo Sun, Deo Kumar Srivastava & Leslie L. Robison. (2020) Nonparametric screening and feature selection for ultrahigh‐dimensional Case II interval‐censored failure time data. Biometrical Journal 62:8, pages 1909-1925.
Crossref
Crossref
Naifei Zhao, Qingsong Xu, Man-lai Tang & Hong Wang. (2020) Variable Screening for Near Infrared (NIR) Spectroscopy Data Based on Ridge Partial Least Squares Regression. Combinatorial Chemistry & High Throughput Screening 23:8, pages 740-756.
Crossref
Crossref
Fengli Song, Peng Lai & Baohua Shen. (2020) Robust composite weighted quantile screening for ultrahigh dimensional discriminant analysis. Metrika 83:7, pages 799-820.
Crossref
Crossref
Yi Chu & Lu Lin. (2018) Conditional SIRS for nonparametric and semiparametric models by marginal empirical likelihood. Statistical Papers 61:4, pages 1589-1606.
Crossref
Crossref
Shuiyun Lu, Xiaolin Chen, Sheng Xu & Chunling Liu. (2020) Joint model-free feature screening for ultra-high dimensional semi-competing risks data. Computational Statistics & Data Analysis 147, pages 106942.
Crossref
Crossref
Yi Liu, Xiaolin Chen & Gang Li. (2019) A new joint screening method for right-censored time-to-event data with ultra-high dimensional covariates. Statistical Methods in Medical Research 29:6, pages 1499-1513.
Crossref
Crossref
Degui Li, Jiraroj Tosasukul & Wenyang Zhang. (2019) Nonlinear Factor‐Augmented Predictive Regression Models with Functional Coefficients. Journal of Time Series Analysis 41:3, pages 367-386.
Crossref
Crossref
Fengli Song, Yurong Chen & Peng Lai. (2020) Conditional distance correlation screening for sparse ultrahigh-dimensional models. Applied Mathematical Modelling 81, pages 232-252.
Crossref
Crossref
Wanghuan Chu, Runze Li, Jingyuan Liu & Matthew Reimherr. (2020) Feature selection for generalized varying coefficient mixed-effect models with application to obesity GWAS. The Annals of Applied Statistics 14:1.
Crossref
Crossref
Jun Lu & Lu Lin. (2017) Model-free conditional screening via conditional distance correlation. Statistical Papers 61:1, pages 225-244.
Crossref
Crossref
Yeqing Zhou, Jingyuan Liu & Liping Zhu. (2020) Test for conditional independence with application to conditional screening. Journal of Multivariate Analysis 175, pages 104557.
Crossref
Crossref
Wanjun Liu & Runze Li. 2020. Macroeconomic Forecasting in the Era of Big Data. Macroeconomic Forecasting in the Era of Big Data
293
326
.
Jarno Vanhatalo, Zitong Li & Mikko J Sillanpää. (2019) A Gaussian process model and Bayesian variable selection for mapping function-valued quantitative traits with incomplete phenotypic data. Bioinformatics 35:19, pages 3684-3692.
Crossref
Crossref
Xiaolin Chen, Xiaojing Chen & Yi Liu. (2017) A note on quantile feature screening via distance correlation. Statistical Papers 60:5, pages 1741-1762.
Crossref
Crossref
Yinfei Kong, Yujie Li & Dawit Zerom. (2019) Screening and selection for quantile regression using an alternative measure of variable importance. Journal of Multivariate Analysis 173, pages 435-455.
Crossref
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
Crossref
Yi Liu. (2019) Feature Screening for Ultrahigh-dimensional Censored Data with Varying Coefficient Single-index Model. Acta Mathematicae Applicatae Sinica, English Series 35:4, pages 845-861.
Crossref
Crossref
Guangren Yang, Ling Zhang, Runze Li & Yuan Huang. (2019) Feature screening in ultrahigh-dimensional varying-coefficient Cox model. Journal of Multivariate Analysis 171, pages 284-297.
Crossref
Crossref
Shen Zhang, Peixin Zhao, Gaorong Li & Wangli Xu. (2019) Nonparametric independence screening for ultra-high dimensional generalized varying coefficient models with longitudinal data. Journal of Multivariate Analysis 171, pages 37-52.
Crossref
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
Crossref
Shucong Zhang, Jing Pan & Yong Zhou. (2018) Robust conditional nonparametric independence screening for ultrahigh-dimensional data. Statistics & Probability Letters 143, pages 95-101.
Crossref
Crossref
Xiangjie Li, Xuejun Ma & Jingxiao Zhang. (2018) Conditional quantile correlation screening procedure for ultrahigh-dimensional varying coefficient models. Journal of Statistical Planning and Inference 197, pages 69-92.
Crossref
Crossref
Yang Feng, Yichao Wu & Leonard A. Stefanski. (2018) Nonparametric independence screening via favored smoothing bandwidth. Journal of Statistical Planning and Inference 197, pages 1-14.
Crossref
Crossref
Jun Lu & Lu Lin. (2018) Feature screening for multi-response varying coefficient models with ultrahigh dimensional predictors. Computational Statistics & Data Analysis 128, pages 242-254.
Crossref
Crossref
Linlin Dai, Kani Chen, Zhihua Sun, Zhenqiu Liu & Gang Li. (2018) Broken adaptive ridge regression and its asymptotic properties. Journal of Multivariate Analysis 168, pages 334-351.
Crossref
Crossref
Zeshi Zheng, Noah P. Molotch, Carlos A. Oroza, Martha H. Conklin & Roger C. Bales. (2018) Spatial snow water equivalent estimation for mountainous areas using wireless-sensor networks and remote-sensing products. Remote Sensing of Environment 215, pages 44-56.
Crossref
Crossref
Jingyuan Liu, Lejia Lou & Runze Li. (2018) Variable selection for partially linear models via partial correlation. Journal of Multivariate Analysis 167, pages 418-434.
Crossref
Crossref
Ahmad Alothman, Yuexiao Dong & Andreas Artemiou. (2018) On dual model-free variable selection with two groups of variables. Journal of Multivariate Analysis 167, pages 366-377.
Crossref
Crossref
Qihua Wang & Yongjin Li. (2017) How to Make Model‐free Feature Screening Approaches for Full Data Applicable to the Case of Missing Response?. Scandinavian Journal of Statistics 45:2, pages 324-346.
Crossref
Crossref
Hyokyoung G. Hong, Xuerong Chen, David C. Christiani & Yi Li. (2018) Integrated Powered Density: Screening Ultrahigh Dimensional Covariates with Survival Outcomes. Biometrics 74:2, pages 421-429.
Crossref
Crossref
Weihua Zhao, Jianbo Li & Heng Lian. (2017) Adaptive varying-coefficient linear quantile model: a profiled estimating equations approach. Annals of the Institute of Statistical Mathematics 70:3, pages 553-582.
Crossref
Crossref
Shucong Zhang & Yong Zhou. (2018) Variable screening for ultrahigh dimensional heterogeneous data via conditional quantile correlations. Journal of Multivariate Analysis 165, pages 1-13.
Crossref
Crossref
Yi Liu & Qihua Wang. (2017) Model-free feature screening for ultrahigh-dimensional data conditional on some variables. Annals of the Institute of Statistical Mathematics 70:2, pages 283-301.
Crossref
Crossref
Ming‐Yen Cheng, Sanying Feng, Gaorong Li & Heng Lian. (2018) Greedy forward regression for variable screening. Australian & New Zealand Journal of Statistics 60:1, pages 20-42.
Crossref
Crossref
Xiaolin Chen, Xiaojing Chen & Hong Wang. (2018) Robust feature screening for ultra-high dimensional right censored data via distance correlation. Computational Statistics & Data Analysis 119, pages 118-138.
Crossref
Crossref
Jingyuan Liu, Meixia Ye, Sheng Zhu, Libo Jiang, Mengmeng Sang, Jingwen Gan, Qian Wang, Minren Huang & Rongling Wu. (2017)
Two‐stage identification of
SNP
effects on dynamic poplar growth
. The Plant Journal 93:2, pages 286-296.
Crossref
Crossref
Guifang Fu, Gang Wang & Xiaotian Dai. (2017) An adaptive threshold determination method of feature screening for genomic selection. BMC Bioinformatics 18:1.
Crossref
Crossref
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.
Crossref
Crossref
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.
Crossref
Crossref
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.
Crossref
Crossref
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.
Crossref
Crossref
Shizhe Chen, Daniela Witten & Ali Shojaie. (2017) Nearly assumptionless screening for the mutually-exciting multivariate Hawkes process. Electronic Journal of Statistics 11:1.
Crossref
Crossref
Xiang-Jie Li, Xue-Jun Ma & Jing-Xiao Zhang. (2016) Robust feature screening for varying coefficient models via quantile partial correlation. Metrika 80:1, pages 17-49.
Crossref
Crossref
Xiaochao Xia, Hu Yang & Jialiang Li. (2016) Feature screening for generalized varying coefficient models with application to dichotomous responses. Computational Statistics & Data Analysis 102, pages 85-97.
Crossref
Crossref
Xiaojuan Kang & Tizheng Li. (2016) Efficient estimation of varying coefficient models with serially correlated errors. Statistical Methodology 32, pages 161-184.
Crossref
Crossref
Wanghuan Chu, Runze Li & Matthew Reimherr. (2016) Feature screening for time-varying coefficient models with ultrahigh-dimensional longitudinal data. The Annals of Applied Statistics 10:2.
Crossref
Crossref
Gerhard Tutz & Jan Gertheiss. (2016) Regularized regression for categorical data. Statistical Modelling 16:3, pages 161-200.
Crossref
Crossref
Jingyuan Liu. (2016) Feature screening and variable selection for partially linear models with ultrahigh-dimensional longitudinal data. Neurocomputing 195, pages 202-210.
Crossref
Crossref
Jinyuan Chang, Cheng Yong Tang & Yichao Wu. (2016) Local independence feature screening for nonparametric and semiparametric models by marginal empirical likelihood. The Annals of Statistics 44:2.
Crossref
Crossref
Xuejun Ma & Jingxiao Zhang. (2016) Robust model-free feature screening via quantile correlation. Journal of Multivariate Analysis 143, pages 472-480.
Crossref
Crossref
Hyokyoung G. Hong, Lan Wang & Xuming He. (2016) A data‐driven approach to conditional screening of high‐dimensional variables. Stat 5:1, pages 200-212.
Crossref
Crossref
Degui Li, Yuan Ke & Wenyang Zhang. (2015) Model selection and structure specification in ultra-high dimensional generalised semi-varying coefficient models. The Annals of Statistics 43:6.
Crossref
Crossref
Gang Wang, Guifang Fu & Christopher Corcoran. (2015) A forest-based feature screening approach for large-scale genome data with complex structures. BMC Genetics 16:1.
Crossref
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
Crossref
Cen WuYuehua CuiShuangge Ma. (2014) Integrative analysis of gene–environment interactions under a multi‐response partially linear varying coefficient model. Statistics in Medicine 33:28, pages 4988-4998.
Crossref
Crossref
Ming-Yen Cheng, Toshio Honda, Jialiang Li & Heng Peng. (2014) Nonparametric independence screening and structure identification for ultra-high dimensional longitudinal data. The Annals of Statistics 42:5.
Crossref
Crossref
L. Sun, M. Ye, H. Hao, N. Wang, Y. Wang, T. Cheng, Q. Zhang & R. Wu. (2014) A Model Framework for Identifying Genes that Guide the Evolution of Heterochrony. Molecular Biology and Evolution 31:8, pages 2238-2247.
Crossref
Crossref
Jia Chen, Degui Li, Oliver B. Linton & Zudi Lu. (2015) Semiparametric Ultra-High Dimensional Model Averaging of Nonlinear Dynamic Time Series. SSRN Electronic Journal.
Crossref
Crossref
Danyang Huang, Runze Li & Hansheng Wang. (2013) Feature Screening for Ultrahigh Dimensional Categorical Data with Applications. SSRN Electronic Journal.
Crossref
Crossref