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- W2793514340 abstract "Kernel estimation is a popular approach to estimation of the pair correlation function which is a fundamental spatial point process characteristic. Least squares cross validation was suggested by Guan [A least-squares cross-validation bandwidth selection approach in pair correlation function estimations. Statist Probab Lett. 2007;77(18):1722–1729] as a data-driven approach to select the kernel bandwidth. The method can, however, be computationally demanding for large point pattern data sets. We suggest a modified least squares cross validation approach that is asymptotically equivalent to the one proposed by Guan but is computationally much faster." @default.
- W2793514340 created "2018-03-29" @default.
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- W2793514340 date "2018-01-29" @default.
- W2793514340 modified "2023-10-02" @default.
- W2793514340 title "Fast bandwidth selection for estimation of the pair correlation function" @default.
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- W2793514340 doi "https://doi.org/10.1080/00949655.2018.1428606" @default.
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