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On the utility of asymptotic bandwidth selectors for spatially adaptive kernel density estimation

Author

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  • Davies, Tilman M.
  • Flynn, Claire R.
  • Hazelton, Martin L.

Abstract

Implementation of the spatially adaptive kernel estimator relies on choice of a ‘global bandwidth’. We derive the closed-form asymptotic bias for this estimator with the aim of developing relevant selectors, and note non-uniform convergence hinders its usability for this purpose.

Suggested Citation

  • Davies, Tilman M. & Flynn, Claire R. & Hazelton, Martin L., 2018. "On the utility of asymptotic bandwidth selectors for spatially adaptive kernel density estimation," Statistics & Probability Letters, Elsevier, vol. 138(C), pages 75-81.
    • Handle: RePEc:eee:stapro:v:138:y:2018:i:c:p:75-81
    DOI: 10.1016/j.spl.2018.02.067
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    References listed on IDEAS

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    1. Davies, Tilman M. & Jones, Khair & Hazelton, Martin L., 2016. "Symmetric adaptive smoothing regimens for estimation of the spatial relative risk function," Computational Statistics & Data Analysis, Elsevier, vol. 101(C), pages 12-28.
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