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We consider non-parametric estimation and inference of conditional moment models in high dimensions.
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George H. Chen and Devavrat Shah · 1935
Earlier work this paper cites.
Adaptive control processes princeton
RE Bellman · 1961
Earlier work this paper cites.
Consistent nonparametric regression
Charles J Stone · 1977
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Local properties of k k -nn regression estimates
Yue-Pok Mack · 1981
Earlier work this paper cites.
The jackknife, the bootstrap, and other resampling plans , volume 38
Bradley Efron · 1982
Earlier work this paper cites.
Large sample properties of generalized method of moments estimators
Lars Peter Hansen · 1982
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Optimal global rates of convergence for nonparametric regression
Charles J. Stone · 1982
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Plongements lipschitziens dans ℝ n \mathbb{R}^{n}
Patrice Assouad · 1983
Earlier work this paper cites.
Local likelihood estimation
Robert Tibshirani and Trevor Hastie · 1987
Earlier work this paper cites.
The kernel estimate of a regression function in likelihood-based models
Joan G Staniswalis · 1989
Earlier work this paper cites.
Riemannian geometry
Manfredo Perdigão do Carmo · 1992
Earlier work this paper cites.
A review of the theory and estimation of fractal dimension
Colleen D Cutler · 1993
Earlier work this paper cites.
16 efficient estimation of models with conditional moment restrictions
Whitney K. Newey · 1993
Earlier work this paper cites.
Probability inequalities for sums of bounded random variables
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Earlier work this paper cites.
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Whitney K Newey · 1994
Earlier work this paper cites.
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James M Robins and Ya’acov Ritov · 1997
Earlier work this paper cites.
Local maximum likelihood estimation and inference
Jianqing Fan, Mark Farmen, and Irene Gijbels · 1998
Earlier work this paper cites.
Nonlinear dimensionality reduction by locally linear embedding
Sam T Roweis and Lawrence K Saul · 2000
Earlier work this paper cites.
A global geometric framework for nonlinear dimensionality reduction
Joshua B Tenenbaum, Vin De Silva, and John C Langford · 2000
Earlier work this paper cites.
Random forests
Leo Breiman · 2001
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Structural econometric modeling: Rationales and examples from industrial organization
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