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Sparse Models and Methods for Optimal Instruments with an Application to
  Eminent Domain

Sparse Models and Methods for Optimal Instruments with an Application to Eminent Domain

21 October 2010
A. Belloni
Daniel L. Chen
Victor Chernozhukov
Christian B. Hansen
ArXivPDFHTML

Papers citing "Sparse Models and Methods for Optimal Instruments with an Application to Eminent Domain"

7 / 7 papers shown
Title
Learning Decision Policies with Instrumental Variables through Double
  Machine Learning
Learning Decision Policies with Instrumental Variables through Double Machine Learning
Daqian Shao
Ashkan Soleymani
Francesco Quinzan
Marta Z. Kwiatkowska
16
1
0
14 May 2024
Improving Inference from Simple Instruments through Compliance
  Estimation
Improving Inference from Simple Instruments through Compliance Estimation
S. Coussens
Jann Spiess
CML
15
14
0
08 Aug 2021
The Bias-Variance Tradeoff of Doubly Robust Estimator with Targeted
  $L_1$ regularized Neural Networks Predictions
The Bias-Variance Tradeoff of Doubly Robust Estimator with Targeted L1L_1L1​ regularized Neural Networks Predictions
M. Rostami
O. Saarela
M. Escobar
19
1
0
02 Aug 2021
High-Dimensional $L_2$Boosting: Rate of Convergence
High-Dimensional L2L_2L2​Boosting: Rate of Convergence
Ye Luo
Martin Spindler
Jannis Kuck
18
32
0
29 Feb 2016
A General Framework for Robust Testing and Confidence Regions in
  High-Dimensional Quantile Regression
A General Framework for Robust Testing and Confidence Regions in High-Dimensional Quantile Regression
Tianqi Zhao
Mladen Kolar
Han Liu
30
42
0
30 Dec 2014
Taking Advantage of Sparsity in Multi-Task Learning
Taking Advantage of Sparsity in Multi-Task Learning
Karim Lounici
Massimiliano Pontil
Alexandre B. Tsybakov
Sara van de Geer
164
283
0
09 Mar 2009
High-dimensional generalized linear models and the lasso
High-dimensional generalized linear models and the lasso
Sara van de Geer
172
738
0
04 Apr 2008
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