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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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This paper introduces Stata commands [R] npivreg and [R] npivregcv, which implement nonparametric instrumental variable (NPIV) estimation methods without and with a cross-validated choice of tuning parameters, respectively. Both commands are able to impose monotonicity of the estimated function....
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We apply additive mixed regression models (AMM) to estimate hedonic price equations. Non-linear effects of continuous …
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regression (STAR) model simultaneously, modeling potentially nonlinear effects as P(enalized)-Splines and controlling for cluster …
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The purpose of this paper is to propose a procedure for testing the equality of several regression curves fi in … nonparametric regression models when the noise is inhomogeneous. This extends work of Dette and Neumeyer (2001) and it is shown that … maximum likelihood statistic from a heteroscedastic one way ANOVA to the context of nonparametric regression. The maximum …
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common linear and nonparametric regression model, which are based on empirical processes of residuals. It is well known that … linear and nonparametric regression models. …
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