Alexandre Belloni

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Victor ChernozhukovProfessor, Department of Economics + Center for Statistics and Data Science, MIT;Email yang diverifikasi di mit.edu
Christian B HansenProfessor of Econometrics and Statistics, University of Chicago, Booth School of BusinessEmail yang diverifikasi di chicagobooth.edu
Ivan Fernandez-ValProfessor of Economics, Boston UniversityEmail yang diverifikasi di bu.edu
Kengo KatoDepartment of Statistics and Data Science, Cornell UniversityEmail yang diverifikasi di cornell.edu
Denis ChetverikovProfessor, Department of Economics, UCLAEmail yang diverifikasi di econ.ucla.edu
Daniel L. ChenRadcliffe Institute for Advanced Study at HarvardEmail yang diverifikasi di nber.org
Claudia SagastizábalAdjunct Researcher - IMECC UnicampEmail yang diverifikasi di unicamp.br
Mingli ChenAssociate Professor, Department of Economics, University of WarwickEmail yang diverifikasi di warwick.ac.uk
Damian KozburAssistant Professor of Econometrics, University of ZürichEmail yang diverifikasi di econ.uzh.ch
Santosh S. VempalaGeorgia TechEmail yang diverifikasi di gatech.edu
Roberto Imbuzeiro OliveiraProfessor, IMPAEmail yang diverifikasi di impa.br
Tengyuan LiangProfessor, University of ChicagoEmail yang diverifikasi di chicagobooth.edu
Mitchell J. LovettProfessor of Marketing, University of Rochester, Simon School of BusinessEmail yang diverifikasi di simon.rochester.edu
Peng SunDuke UniversityEmail yang diverifikasi di duke.edu
Saša PekečProfessor, Decision Sciences, The Fuqua School of Business, Duke UniversityEmail yang diverifikasi di duke.edu

Ikuti

Alexandre Belloni

Duke University

Email yang diverifikasi di duke.edu

Econometrics Statistics Optimization Mechanism Design


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
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	2031	2014
Sparse models and methods for optimal instruments with an application to eminent domain A Belloni, D Chen, V Chernozhukov, C Hansen	1221	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	1111	2014
Least Squares after Model Selection in High-Dimensional Sparse Models A Belloni, V Chernozhukov Cambridge, MA: Dept. of Economics, MIT, 2009	904*	2009
Square-root lasso: pivotal recovery of sparse signals via conic programming A Belloni, V Chernozhukov, L Wang Biometrika 98 (4), 791-806, 2011	785	2011
ℓ1-penalized quantile regression in high-dimensional sparse models A Belloni, V Chernozhukov The Annals of Statistics 39 (1), 82-130, 2011	769	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	578	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	286	2015
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	258*	2013
Inference for high-dimensional sparse econometric models A Belloni, V Chernozhukov, C Hansen Advances in economics and econometrics: Tenth world congress 3, 245-95, 2013	230	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	219*	2015
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	214	2016
Pivotal estimation via square-root lasso in nonparametric regression A Belloni, V Chernozhukov, L Wang	196*	2014
Conditional quantile processes based on series or many regressors A Belloni, V Chernozhukov, I Fernandez-Val	195*	2011
Optimizing product line designs: Efficient methods and comparisons A Belloni, R Freund, M Selove, D Simester Management Science 54 (9), 1544-1552, 2008	194	2008
High dimensional sparse econometric models: An introduction A Belloni, V Chernozhukov Inverse Problems and High-Dimensional Estimation: Stats in the Château …, 2011	138	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	115	2009
Lasso methods for gaussian instrumental variables models A Belloni, V Chernozhukov, C Hansen arXiv preprint arXiv:1012.1297, 2010	98	2010
Uniformly valid post-regularization confidence regions for many functional parameters in z-estimation framework A Belloni, V Chernozhukov, D Chetverikov, Y Wei Annals of statistics 46 (6B), 3643, 2018	97	2018
Valid post-selection inference in high-dimensional approximately sparse quantile regression models A Belloni, V Chernozhukov, K Kato Journal of the American Statistical Association 114 (526), 749-758, 2019	96	2019

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