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Inference on Treatment Effects after Selection Amongst High-Dimensional Controls
- A. Belloni, V. Chernozhukov, Christian Hansen
- Computer Science
- 30 December 2011
In this supplementary appendix we provide additional results, omitted proofs and extensive simulations that complement the analysis of the main text (arXiv:1201.0224).
Sparse Models and Methods for Optimal Instruments with an Application to Eminent Domain
- A. Belloni, Daniel L. Chen, V. Chernozhukov, Christian Hansen
- Economics, Mathematics
- 20 October 2010
TLDR
Square-Root Lasso: Pivotal Recovery of Sparse Signals via Conic Programming
- A. Belloni, V. Chernozhukov, Lie Wang
- Computer Science
- 28 September 2010
TLDR
L1-Penalized Quantile Regression in High Dimensional Sparse Models
- V. Chernozhukov, A. Belloni
- Mathematics, Computer Science
- 19 April 2009
TLDR
High-Dimensional Methods and Inference on Structural and Treatment Effects
- A. Belloni, V. Chernozhukov, Christian Hansen
- Economics
- 21 November 2013
TLDR
Least Squares After Model Selection in High-Dimensional Sparse Models
- A. Belloni, V. Chernozhukov
- Computer Science, Mathematics
- 4 January 2009
TLDR
Some new asymptotic theory for least squares series: Pointwise and uniform results
- A. Belloni, V. Chernozhukov, D. Chetverikov, Kengo Kato
- Mathematics
- 3 December 2012
Program evaluation and causal inference with high-dimensional data
- A. Belloni, V. Chernozhukov, Iv'an Fern'andez-Val, Christian Hansen
- Mathematics, Economics
- 11 November 2013
TLDR
ℓ[subscript 1]-penalized quantile regression in high-dimensional sparse models
- A. Belloni, V. Chernozhukov
- Computer Science
- 1 February 2011
Optimizing Product Line Designs: Efficient Methods and Comparisons
- A. Belloni, R. Freund, Matthew Selove, D. Simester
- Computer ScienceManag. Sci.
- 1 September 2008
We take advantage of recent advances in optimization methods and computer hardware to identify globally optimal solutions of product line design problems that are too large for complete enumeration.…
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