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that are easy to implement and deal with outliers by what amounts to a soft form of trimming in the case of t and a soft …
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We provide general compactness results for many commonly used parameter spaces in nonparametric estimation. We consider three kinds of functions: (1) functions with bounded domains which satisfy standard norm bounds, (2) functions with bounded domains which do not satisfy standard norm bounds,...
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We propose various semiparametric estimators for nonlinear selection models, where slope and intercept can be separately identifed. When the selection equation satisfies a monotonic index restriction, we suggest a local polynomial estimator, using only observations for which the marginal...
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flexible modeling methods: how to select the values of smoothing parameters in an optimal way and how to implement “trimming …
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