A Likelihood Ratio Framework for High Dimensional Semiparametric Regression

6 December 2014

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

8 / 8 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 35 0 0 05 Apr 2025
A Computationally Efficient Method for Learning Exponential Family Distributions Abhin Shah Devavrat Shah G. Wornell 28 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 26 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
Oracle Inequalities and Optimal Inference under Group Sparsity Karim Lounici Massimiliano Pontil Alexandre B. Tsybakov Sara van de Geer 133 378 0 11 Jul 2010
High-dimensional generalized linear models and the lasso Sara van de Geer 194 749 0 04 Apr 2008