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- W2040248814 abstract "In this paper we consider the problem of estimating a non‐parametric regression function using the k nearest‐neighbour method. We provide asymptotic theories for the least‐squares cross validation (CV) selected smoothing parameter k for both local constant and local linear estimation methods. We also establish the asymptotic normality results for the resulting non‐parametric regression function estimators. Some limited Monte Carlo experiments show that the CV method performs well in finite sample applications." @default.
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- W2040248814 date "2006-10-31" @default.
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- W2040248814 title "Cross‐validation and non‐parametric k nearest‐neighbour estimation" @default.
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- W2040248814 doi "https://doi.org/10.1111/j.1368-423x.2006.00193.x" @default.
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