Inference in Additively Separable Models With a High-Dimensional Set of Conditioning Variables

18 March 2015

Papers citing "Inference in Additively Separable Models With a High-Dimensional Set of Conditioning Variables"

9 / 9 papers shown

Title
Program Evaluation and Causal Inference with High-Dimensional Data A. Belloni Victor Chernozhukov Iván Fernández-Val Christian B. Hansen CML 234 359 0 11 Nov 2013
Confidence Intervals and Hypothesis Testing for High-Dimensional Regression Adel Javanmard Andrea Montanari 284 768 0 13 Jun 2013
Supplementary Appendix for "Inference on Treatment Effects After Selection Amongst High-Dimensional Controls" A. Belloni Victor Chernozhukov Christian B. Hansen 279 1,410 0 27 May 2013
Sparse Models and Methods for Optimal Instruments with an Application to Eminent Domain A. Belloni Daniel L. Chen Victor Chernozhukov Christian B. Hansen 221 561 0 21 Oct 2010
Taking Advantage of Sparsity in Multi-Task Learning Karim Lounici Massimiliano Pontil Alexandre B. Tsybakov Sara van de Geer 340 293 0 09 Mar 2009
The sparsity and bias of the Lasso selection in high-dimensional linear regression Cun-Hui Zhang Jian Huang 477 870 0 07 Aug 2008
High-dimensional generalized linear models and the lasso Sara van de Geer 640 755 0 04 Apr 2008
Sup-norm convergence rate and sign concentration property of Lasso and Dantzig estimators Karim Lounici 517 244 0 30 Jan 2008
Can One Estimate The Unconditional Distribution of Post-Model-Selection Estimators? Hannes Leeb Benedikt M. Poetscher 444 363 0 12 Apr 2007