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Error-in-variables regression is a common ingredient in treatment effect estimators using panel data.
Estimates of moments and tails of gaussian chaoses
Rafał Latała et al · 2006
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The dantzig selector: Statistical estimation when p p is much larger than n n
Emmanuel Candès and Terence Tao · 2007
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Panel data models with interactive fixed effects
Jushan Bai · 2009
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Simultaneous analysis of lasso and dantzig selector
Peter J Bickel, Ya’acov Ritov, and Alexandre B Tsybakov · 2009
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Synthetic control methods for comparative case studies: Estimating the effect of california’s tobacco control program
Alberto Abadie, Alexis Diamond, and Jens Hainmueller · 2010
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High-dimensional regression with noisy and missing data: Provable guarantees with non-convexity
Po-Ling Loh and Martin J Wainwright · 2011
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Decoupling: from dependence to independence
Victor De la Pena and Evarist Giné · 2012
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Probability in Banach Spaces: isoperimetry and processes
Michel Ledoux and Michel Talagrand · 2013
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Improved matrix uncertainty selector
Mathieu Rosenbaum, Alexandre B Tsybakov, et al · 2013
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Suprema of chaos processes and the restricted isometry property
Felix Krahmer, Shahar Mendelson, and Holger Rauhut · 2014
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Upper and lower bounds for stochastic processes: modern methods and classical problems , volume 60
Michel Talagrand · 2014
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Tail bounds via generic chaining
Sjoerd Dirksen · 2015
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Convex optimization in normed spaces: theory, methods and examples
Juan Peypouquet · 2015
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Balancing, regression, difference-in-differences and synthetic control methods: A synthesis
Nikolay Doudchenko and Guido W Imbens · 2016
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An exact and robust conformal inference method for counterfactual and synthetic controls
Victor Chernozhukov, Kaspar Wuthrich, and Yinchu Zhu · 2017
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Cocolasso for high-dimensional error-in-variables regression
Abhirup Datta, Hui Zou, et al · 2017
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A simple tool for bounding the deviation of random matrices on geometric sets
Christopher Liaw, Abbas Mehrabian, Yaniv Plan, and Roman Vershynin · 2017
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Practical and robust t-test based inference for synthetic control and related methods
Victor Chernozhukov, Kaspar Wuthrich, and Yinchu Zhu · 2018
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High-dimensional probability: An introduction with applications in data science , volume 47
Roman Vershynin · 2018
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Upper bounds on product and multiplier empirical processes
Shahar Mendelson · 2016
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Matrix completion methods for causal panel data models
Susan Athey, Mohsen Bayati, Nikolay Doudchenko, Guido Imbens, and Khashayar Khosravi · 2017
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Prediction intervals for synthetic control methods
Matias D Cattaneo, Yingjie Feng, and Rocio Titiunik · 2019
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Statistical inference for average treatment effects estimated by synthetic control methods
Kathleen T Li · 2020
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