Alexandre Belloni

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Victor ChernozhukovProfessor, Department of Economics + Center for Statistics and Data Science, MITGeverifieerd e-mailadres voor mit.edu
Christian B HansenProfessor of Econometrics and Statistics, University of Chicago, Booth School of BusinessGeverifieerd e-mailadres voor chicagobooth.edu
Ivan Fernandez-ValProfessor of Economics, Boston UniversityGeverifieerd e-mailadres voor bu.edu
Kengo KatoDepartment of Statistics and Data Science, Cornell UniversityGeverifieerd e-mailadres voor cornell.edu
Denis ChetverikovProfessor, Department of Economics, UCLAGeverifieerd e-mailadres voor econ.ucla.edu
Daniel L. ChenInstitute for Advanced Study at ToulouseGeverifieerd e-mailadres voor nber.org
Claudia SagastizábalAdjunct Researcher - IMECC UnicampGeverifieerd e-mailadres voor unicamp.br
Damian KozburAssistant Professor of Econometrics, University of ZürichGeverifieerd e-mailadres voor econ.uzh.ch
Santosh S. VempalaGeorgia TechGeverifieerd e-mailadres voor gatech.edu
Mingli ChenAssociate Professor, Department of Economics, University of WarwickGeverifieerd e-mailadres voor warwick.ac.uk
Roberto Imbuzeiro OliveiraProfessor, IMPAGeverifieerd e-mailadres voor impa.br
Tengyuan LiangUniversity of ChicagoGeverifieerd e-mailadres voor chicagobooth.edu
Mitchell J. LovettProfessor of Marketing, University of Rochester, Simon School of BusinessGeverifieerd e-mailadres voor simon.rochester.edu
Peng SunDuke UniversityGeverifieerd e-mailadres voor duke.edu
Saša PekečProfessor, Decision Sciences, The Fuqua School of Business, Duke UniversityGeverifieerd e-mailadres voor duke.edu

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Alexandre Belloni

Duke University

Geverifieerd e-mailadres voor duke.edu

Econometrics Statistics Optimization Mechanism Design


Titel Sorteren op citaties Sorteren op jaar Sorteren op titel	Geciteerd door Geciteerd door	Jaar
Inference on treatment effects after selection among high-dimensional controls A Belloni, V Chernozhukov, C Hansen Review of Economic Studies 81 (2), 608-650, 2014	1658	2014
Sparse models and methods for optimal instruments with an application to eminent domain A Belloni, D Chen, V Chernozhukov, C Hansen	1068	2011
High-dimensional methods and inference on structural and treatment effects A Belloni, V Chernozhukov, C Hansen Journal of Economic Perspectives 28 (2), 29-50, 2014	971	2014
Least Squares after Model Selection in High-Dimensional Sparse Models A Belloni, V Chernozhukov Cambridge, MA: Dept. of Economics, MIT, 2009	797*	2009
Square-root lasso: pivotal recovery of sparse signals via conic programming A Belloni, V Chernozhukov, L Wang Biometrika 98 (4), 791-806, 2011	701	2011
ℓ1-penalized quantile regression in high-dimensional sparse models A Belloni, V Chernozhukov The Annals of Statistics 39 (1), 82-130, 2011	680	2011
Program evaluation and causal inference with high‐dimensional data A Belloni, V Chernozhukov, I Fernandez‐Val, C Hansen Econometrica 85 (1), 233-298, 2017	469	2017
Some new asymptotic theory for least squares series: Pointwise and uniform results A Belloni, V Chernozhukov, D Chetverikov, K Kato Journal of Econometrics 186 (2), 345-366, 2015	234	2015
Inference for high-dimensional sparse econometric models A Belloni, V Chernozhukov, C Hansen arXiv preprint arXiv:1201.0220, 2011	216	2011
Honest confidence regions for a regression parameter in logistic regression with a large number of controls A Belloni, V Chernozhukov, Y Wei cemmap working paper, 2013	212*	2013
Uniform post-selection inference for least absolute deviation regression and other Z-estimation problems A Belloni, V Chernozhukov, K Kato Biometrika 102 (1), 77-94, 2015	196*	2015
Optimizing product line designs: Efficient methods and comparisons A Belloni, R Freund, M Selove, D Simester Management Science 54 (9), 1544-1552, 2008	187	2008
Inference in high-dimensional panel models with an application to gun control A Belloni, V Chernozhukov, C Hansen, D Kozbur Journal of Business & Economic Statistics 34 (4), 590-605, 2016	177	2016
Pivotal estimation via square-root lasso in nonparametric regression A Belloni, V Chernozhukov, L Wang	174*	2014
Conditional quantile processes based on series or many regressors A Belloni, V Chernozhukov, I Fernandez-Val	168*	2011
High dimensional sparse econometric models: An introduction A Belloni, V Chernozhukov Inverse Problems and High-Dimensional Estimation: Stats in the Château …, 2011	121	2011
On the computational complexity of MCMC-based estimators in large samples A Belloni, V Chernozhukov The Annals of Statistics 37 (4), 2011-2055, 2009	95	2009
Bundle relaxation and primal recovery in unit commitment problems. The Brazilian case A Belloni, ALDS Lima, MEP Maceira, CA Sagastizábal Annals of Operations Research 120, 21-44, 2003	93	2003
Escaping the local minima via simulated annealing: Optimization of approximately convex functions A Belloni, T Liang, H Narayanan, A Rakhlin Conference on Learning Theory, 240-265, 2015	87	2015
Lasso methods for gaussian instrumental variables models A Belloni, V Chernozhukov, C Hansen arXiv preprint arXiv:1012.1297, 2010	87	2010

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