Estimation And Selection Via Absolute Penalized Convex Minimization And Its Multistage Adaptive Applications

29 December 2011

Papers citing "Estimation And Selection Via Absolute Penalized Convex Minimization And Its Multistage Adaptive Applications"

18 / 18 papers shown

Title
High-Dimensional Tail Index Regression: with An Application to Text Analyses of Viral Posts in Social Media Yuya Sasaki Jing Tao Yulong Wang 69 0 0 02 Mar 2024
High-Dimensional Penalized Bernstein Support Vector Machines Rachid Kharoubi A. Mkhadri K. Oualkacha 34 1 0 16 Mar 2023
Statistical Inference and Large-scale Multiple Testing for High-dimensional Regression Models T. Tony Cai Zijian Guo Yin Xia 106 7 0 25 Jan 2023
Improving Group Lasso for high-dimensional categorical data Szymon Nowakowski P. Pokarowski Wojciech Rejchel Agnieszka Sołtys 87 0 0 25 Oct 2022
Statistical Inference for Genetic Relatedness Based on High-Dimensional Logistic Regression Rong Ma Zijian Guo T. Tony Cai Hongzhe Li 54 10 0 21 Feb 2022
SIHR: Statistical Inference in High-Dimensional Linear and Logistic Regression Models Prabrisha Rakshit Zhenyu Wang T. Tony Cai Zijian Guo 64 4 0 07 Sep 2021
Surrogate Assisted Semi-supervised Inference for High Dimensional Risk Prediction Jue Hou Zijian Guo Tianxi Cai 87 15 0 04 May 2021
High-dimensional Model-assisted Inference for Local Average Treatment Effects with Instrumental Variables Baoluo Sun Z. Tan 26 13 0 19 Sep 2020
Structure learning for CTBN's via penalized maximum likelihood methods Maryia Shpak B. Miasojedow Wojciech Rejchel 57 0 0 13 Jun 2020
Improving Lasso for model selection and prediction P. Pokarowski Wojciech Rejchel Agnieszka Soltys Michal Frej J. Mielniczuk 129 11 0 05 Jul 2019
Model-assisted inference for treatment effects using regularized calibrated estimation with high-dimensional data Z. Tan 71 88 0 30 Jan 2018
Sorted Concave Penalized Regression Long Feng Cun-Hui Zhang 56 15 0 28 Dec 2017
Maximum Regularized Likelihood Estimators: A General Prediction Theory and Applications Rui Zhuang Johannes Lederer 73 15 0 09 Oct 2017
Global solutions to folded concave penalized nonconvex learning Hongcheng Liu Tao Yao Runze Li 66 30 0 24 Mar 2016
Oracle inequalities for ranking and U-processes with Lasso penalty Wojciech Rejchel 39 7 0 17 Dec 2015
Combined l_1 and greedy l_0 penalized least squares for linear model selection P. Pokarowski J. Mielniczuk 97 16 0 22 Oct 2013
Oracle inequalities for the lasso in the Cox model Jian Huang Tingni Sun Z. Ying Yibin Yu Cun-Hui Zhang 121 125 0 20 Jun 2013
Strong oracle optimality of folded concave penalized estimation Jianqing Fan Lingzhou Xue H. Zou 661 308 0 22 Oct 2012