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- W2056573830 abstract "The pair correlation function is a useful tool to analyze spatial point patterns. It is often estimated nonparametrically by a procedure such as kernel smoothing. This article develops a data-driven method for the selection of the bandwidth involved in the estimation. The proposed method uses the idea of least-squares cross-validation which has been often applied for bandwidth selection in density estimation and many other nonparametric estimations. The asymptotic property of the proposed approach will be investigated under an increasing-domain setting in this paper." @default.
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- W2056573830 date "2007-12-01" @default.
- W2056573830 modified "2023-09-27" @default.
- W2056573830 title "A least-squares cross-validation bandwidth selection approach in pair correlation function estimations" @default.
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- W2056573830 doi "https://doi.org/10.1016/j.spl.2007.04.016" @default.
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