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Instrumental variable methods provide a powerful approach to estimating causal effects in the presence of unobserved confounding.
Deep generalized method of moments for instrumental variable analysis
A. Bennett, N. Kallus, and T. Schnabel · 1905
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Kernel instrumental variable regression
R. Singh, M. Sahani, and A. Gretton · 1906
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Generalized control functions via variational decoupling
A. M. Puli and R. Ranganath · 1907
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On Estimation of a Probability Density Function and Mode
E. Parzen · 1962
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Estimation of the mode
H. Chernoff · 1964
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The Mode–A Neglected Statistical Parameter
T. Dalenius · 1965
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On Estimation of the Mode
J. H. Venter · 1967
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Large sample properties of generalized method of moments estimators
L. P. Hansen · 1982
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A desicion-theoretic generalization of on-line learning and an application to boosting
Y. Freund and R. E. Schapire · 1995
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Bagging predictors
L. Breiman · 1996
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‘Mendelian randomization’: can genetic epidemiology contribute to understanding environmental determinants of disease?
G. Davey Smith and S. Ebrahim · 2003
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Instrumental variable estimation of nonparametric models
W. K. Newey and J. L. Powell · 2003
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Combination forecasts of output growth in a seven-country data set
J. H. Stock and M. W. Watson · 2004
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Incarceration length, employment, and earnings
J. R. Kling · 2006
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Mostly harmless econometrics: An empiricist’s companion
J. D. Angrist and J.-S. Pischke · 2008
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Nonparametric instrumental regression
S. Darolles, Y. Fan, J.-P. Florens, and E. Renault · 2011
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Instrumental variables estimation with some invalid instruments and its application to Mendelian randomization
H. Kang, A. Zhang, T. T. Cai, and D. S. Small · 2016
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Deep IV: A flexible approach for counterfactual prediction
J. Hartford, G. Lewis, K. Leyton-Brown, and M. Taddy · 2017
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Robust inference in summary data Mendelian randomization via the zero modal pleiotropy assumption
F. P. Hartwig, G. Davey Smith, and J. Bowden · 2017
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Evaluating the potential role of pleiotropy in Mendelian randomization studies
G. Hemani, J. Bowden, and G. Davey Smith · 2018
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Adversarial generalized method of moments
G. Lewis and V. Syrgkanis · 2018
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N. Kourentzes, D. K. Barrow, and S. F. Crone · 2014
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Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression
J. Bowden, G. Davey Smith, and S. Burgess · 2015
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Identification and inference with many invalid instruments
M. Kolesár, R. Chetty, J. Friedman, E. Glaeser, and G. W. Imbens · 2015
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The criminal and labor market impacts of incarceration
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The challenging interpretation of instrumental variable estimates under monotonicity
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Pytorch: An imperative style, high-performance deep learning library
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