Non-parametric adaptive bandwidth selection for kernel estimators of spatial intensity functions

van Lieshout, Marie-Colette

We propose a new fully non-parametric two-step adaptive bandwidth selection method for kernel estimators of spatial point process intensity functions based on the Campbell-Mecke formula and Abramson's square root law. We present a simulation study to assess its performance relative to the Cronie-Van Lieshout global bandwidth selector and apply the technique to data on induced earthquakes in theGroningen gas field.

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Keywords	Adaptive kernel estimation, Bandwidth selection, Campbell–Mecke formula, Induced earthquakes, Intensity function, Point process
Organisation	Stochastics
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	van Lieshout, M.-C. (2022). Non-parametric adaptive bandwidth selection for kernel estimators of spatial intensity functions.

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article Non-parametric adaptive bandwidth selection for kernel estimators of spatial intensity functions M.N.M. van Lieshout (Marie-Colette)

Non-parametric adaptive bandwidth selection for kernel estimators of spatial intensity functions

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Non-parametric adaptive bandwidth selection for kernel estimators of spatial intensity functions