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This paper proposes a Lasso-type estimator for a high-dimensional sparse parameter identified by a single index conditional moment restriction (CMR).
Orthogonal statistical learning
Foster, D. J. and V. Syrgkanis (2019, January) · 1901
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Estimation of conditional average treatment effects with high-dimensional data
Fan, Q., Y.-C. Hsu, R. P. Lieli, and Y. Zhang (2019, August) · 1908
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Nonparametric estimation of causal heterogeneity under high-dimensional confounding
Zimmert, M. and M. Lechner (2019, August) · 1908
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Multiway Cluster Robust Double/Debiased Machine Learning
Chiang, H. D., K. Kato, Y. Ma, and Y. Sasaki (2019, September) · 1909
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High Dimensional M-Estimation with Missing Outcomes: A Semi-Parametric Framework
Chakrabortty, A., J. Lu, T. T. Cai, and H. Li (2019, November) · 1911
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Optimal asymptotic tests of composite statistical hypotheses
Neyman, J. (1959) · 1959
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Maximum score estimation of the stochastic utility model of choice
Manski, C. F. (1975) · 1975
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c ( α ) c(\alpha) tests and their use
Neyman, J. (1979) · 1979
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Least absolute deviations estimation for the censored regression model
Powell, J. L. (1984) · 1984
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Semiparametric analysis of discrete response: asymptotic properties of the maximum score estimator
Manski, C. F. (1985) · 1985
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Robinson, P. M. (1988, July) · 1988
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Investigating smooth multiple regression by the method of average derivatives
Hardle, W. and T. Stoker (1989) · 1989
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Semiparametric estimation in logistic measurement error models
Carroll, R. J. and M. Wand (1991) · 1991
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Efficient and adaptive estimation for semiparametric models
Bickel, P. J., Y. Ritov, J. Klaassen, and J. A. Wellner (1993) · 1993
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Hardle, W., P. Hall, and H. Ichimura (1993) · 1993
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Semiparametric least squares (sls) and weighted sls estimation of single-index models
Ichimura, H. (1993) · 1993
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An efficient semiparametric estimator for binary response models
Klein, R. and R. Spady (1993) · 1993
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Efficiency of weighted average derivative estimators and index models
Newey, W. and T. Stoker (1993, September) · 1993
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Semiparametric quasilikelihood and variance function estimation in measurement error models
Sepanski, J. H. and R. J. Carroll (1993) · 1993
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Asymptotics for semiparametric econometric models via stochastic equicontinuity
Andrews, D. (1994) · 1994
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The asymptotic variance of semiparametric estimators
Newey, W. (1994, November) · 1994
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Measurement error in nonlinear models. number 63 in monographs on statistics and applied probability
Carroll, R. J., D. Ruppert, and L. A. Stefanski (1995) · 1995
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Lee, L.-F. and J. H. Sepanski (1995) · 1995
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Semiparametric efficiency in multivariate regression models with missing data
Robins, J. and A. Rotnitzky (1995) · 1995
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Improved rates and asymptotic normality for nonparametric neural network estimators
Chen, X. and H. White (1999) · 1999
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Random forests
Breiman, L. (2001) · 2001
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Loh, P.-L. and M. J. Wainwright (2013) · 2013
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Understanding Machine Learning: From Theory to Algorithms
Shalev-Shwartz, S. and S. Ben-David (2014) · 2014
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On asymptotically optimal confidence regions and tests for high-dimensional models
van der Geer, S., P. Bühlmann, Y. Ritov, and R. Dezeure (2014) · 2014
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The Influence Function of Semiparametric Estimators
Ichimura, H. and W. K. Newey (2015, August) · 2015
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Adaptive concentration of regression trees, with application to random forests
Wager, S. and G. Walther (2015, March) · 2015
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Efficient estimation of models with conditional moment restrictions containing unknown functions
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Double Debiased Machine Learning Nonparametric Inference with Continuous Treatments
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Leeb, H. and B. Potcher (2005) · 2005
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Efron, B., T. Hastie, and R. Tibshirani (2007) · 2007
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Bounding the labor supply responses to a randomized welfare experiment: a revealed preference approach
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Statistical consistency and asymptotic normality for high-dimensional robust m m -estimators
Loh, P.-L. (2017, 04) · 2017
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Quasi-oracle estimation of heterogeneous treatment effects
Nie, X. and S. Wager (2017, December) · 2017
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Estimation and inference about heterogeneous treatment effects in high-dimensional dynamic panels
Semenova, V., M. Goldman, V. Chernozhukov, and M. Taddy (2017, December) · 2017
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Nonasymptotic analysis of semiparametric regression models with high-dimensional parametric coefficients
Zhu, Y. (2017) · 2017
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High-dimensional econometrics and regularized GMM
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