A Likelihood Ratio Framework for High Dimensional Semiparametric Regression

6 December 2014

Papers citing "A Likelihood Ratio Framework for High Dimensional Semiparametric Regression"

9 / 9 papers shown

Title
Computational Efficient Informative Nonignorable Matrix Completion: A Row- and Column-Wise Matrix U-Statistic Pseudo-Likelihood Approach Yuanhong A Guoyu Zhang Yongcheng Zeng Bo Zhang 37 0 0 05 Apr 2025
A Computationally Efficient Method for Learning Exponential Family Distributions Abhin Shah Devavrat Shah G. Wornell 30 10 0 28 Oct 2021
Sparse Confidence Sets for Normal Mean Models Y. Ning Guang Cheng 32 2 0 17 Aug 2020
Robust Estimation of Causal Effects via High-Dimensional Covariate Balancing Propensity Score Y. Ning Sida Peng Kosuke Imai 33 87 0 20 Dec 2018
High-Dimensional Econometrics and Regularized GMM A. Belloni Victor Chernozhukov Denis Chetverikov Christian B. Hansen Kengo Kato 28 67 0 05 Jun 2018
Sparse Nonlinear Regression: Parameter Estimation and Asymptotic Inference Zhuoran Yang Zhaoran Wang Han Liu Yonina C. Eldar Tong Zhang 6 43 0 14 Nov 2015
A Unified Theory of Confidence Regions and Testing for High Dimensional Estimating Equations Matey Neykov Y. Ning Jun S. Liu Han Liu 21 77 0 30 Oct 2015
Oracle Inequalities and Optimal Inference under Group Sparsity Karim Lounici Massimiliano Pontil Alexandre B. Tsybakov Sara van de Geer 133 380 0 11 Jul 2010
High-dimensional generalized linear models and the lasso Sara van de Geer 196 749 0 04 Apr 2008