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Confounding problems in regression analysis arise when one or more third variables are simultaneously associated with … modeling process, standard regression models usually fail at separating the corresponding effects due to the complex …
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We propose an optimal-transport-based matching method to nonparametrically estimate linear models with independent latent variables. The method consists in generating pseudo-observations from the latent variables, so that the Euclidean distance between the model’s predictions and their matched...
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We consider nonparametric estimation of a mixed discrete-continuous distribution under anisotropic smoothness conditions and possibly increasing number of support points for the discrete part of the distribution. For these settings, we derive lower bounds on the estimation rates in the total...
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In this article we overview nonparametric (spline and kernel) regression methods and illustrate how they may be used in …
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