Quantile-adaptive model-free variable screening for high-dimensional heterogeneous data

8 April 2013

Papers citing "Quantile-adaptive model-free variable screening for high-dimensional heterogeneous data"

24 / 24 papers shown

Title
Quasi-Newton Updating for Large-Scale Distributed Learning Shuyuan Wu Danyang Huang Hansheng Wang 8 4 0 07 Jun 2023
A model-free feature selection technique of feature screening and random forest based recursive feature elimination Siwei Xia Yuehan Yang 11 12 0 15 Feb 2023
BELIEF in Dependence: Leveraging Atomic Linearity in Data Bits for Rethinking Generalized Linear Models Benjamin Brown Kai Zhang Xiao-Li Meng 22 2 0 19 Oct 2022
Posterior Inference for Quantile Regression: Adaptation to Sparsity Yuanzhi Li Xuming He 7 0 0 01 Nov 2021
A Robust Partial Correlation-based Screening Approach Xiaochao Xia 18 0 0 24 Jul 2021
Inference for High Dimensional Censored Quantile Regression Z. Fei Qi Zheng H. Hong Yi Li 8 15 0 22 Jul 2021
High Dimensional Latent Panel Quantile Regression with an Application to Asset Pricing A. Belloni Mingli Chen Oscar Hernan Madrid Padilla Zixuan Wang Wang 15 15 0 04 Dec 2019
Nonparametric Screening under Conditional Strictly Convex Loss for Ultrahigh Dimensional Sparse Data Xu Han 13 7 0 03 Dec 2019
Model-free Feature Screening and FDR Control with Knockoff Features Wanjun Liu Y. Ke Jingyuan Liu Runze Li 24 56 0 19 Aug 2019
Semiparametric Expectile Regression for High-dimensional Heavy-tailed and Heterogeneous Data Jun Zhao G. Yan Yi Zhang 14 3 0 18 Aug 2019
Structure learning via unstructured kernel-based M-regression Xin He Yeheng Ge Xingdong Feng 37 0 0 03 Jan 2019
Likelihood Ratio Test in Multivariate Linear Regression: from Low to High Dimension Yinqiu He Tiefeng Jiang Jiyang Wen Gongjun Xu 26 11 0 17 Dec 2018
Semiparametric model averaging for high dimensional conditional quantile prediction Jingwen Tu Hu Yang Chaohui Guo 28 2 0 05 Sep 2018
Covariance-Insured Screening Kevin He Jian Kang H. Hong Ji Zhu Yanming Li Huazhen Lin Han Xu Yi Li 21 10 0 17 May 2018
Efficient kernel-based variable selection with sparsistency Xin He Junhui Wang Shaogao Lv 32 7 0 26 Feb 2018
Copula-based Partial Correlation Screening: a Joint and Robust Approach Xiaochao Xia Jialiang Li 16 8 0 05 Feb 2018
Conditional Mean and Quantile Dependence Testing in High Dimension Xianyang Zhang Shu Yao Xiaofeng Shao 17 39 0 30 Jan 2017
Optimal model averaging forecasting in high-dimensional survival analysis Xiaodong Yan Hongni Wang Wen Wang Jinhan Xie Yan-yan Ren Xinjun Wang 9 17 0 26 Dec 2016
Quantile Graphical Models: Prediction and Conditional Independence with Applications to Systemic Risk A. Belloni Mingli Chen Victor Chernozhukov 17 7 0 01 Jul 2016
Interaction Pursuit with Feature Screening and Selection Yingying Fan Yinfei Kong Daoji Li Jinchi Lv 11 28 0 28 May 2016
Partially linear additive quantile regression in ultra-high dimension Ben Sherwood Lan Wang 22 110 0 22 Jan 2016
An adaptive composite quantile approach to dimension reduction Efang Kong Yingcun Xia 31 35 0 14 Aug 2014
Adaptive LASSO model selection in a multiphase quantile regression Gabriela Ciuperca 49 25 0 05 Sep 2013
High-dimensional variable selection for Cox's proportional hazards model Jianqing Fan Yang Feng Yichao Wu 68 159 0 17 Feb 2010