Abstract
Consider the semiparametric regression model yi = xi β + g (ti) + Vi, 1 ≤ i ≤ n, where β is an unknown parameter of interest, (xi, ti) are nonrandom design points, yi are the response variables, g ({dot operator}) is an unknown function defined on the closed interval [0, 1], and the correlated errors Vi = ∑j = - ∞∞ ψj ei - j, with ∑j = - ∞∞ | ψj |
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Liang, H. Y., & Fan, G. L. (2009). Berry-Esseen type bounds of estimators in a semiparametric model with linear process errors. Journal of Multivariate Analysis, 100(1), 1–15. https://doi.org/10.1016/j.jmva.2008.03.006
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