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Kernel density estimation based on Ripley’s correction

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  • Arthur Charpentier

    (UQAM - Université du Québec à Montréal = University of Québec in Montréal, CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR - Université de Rennes - CNRS - Centre National de la Recherche Scientifique)

  • Ewen Gallic

    (CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR - Université de Rennes - CNRS - Centre National de la Recherche Scientifique)

Abstract

No abstract is available for this item.

Suggested Citation

  • Arthur Charpentier & Ewen Gallic, 2016. "Kernel density estimation based on Ripley’s correction," Post-Print halshs-01238499, HAL.
    • Handle: RePEc:hal:journl:halshs-01238499
    DOI: 10.1007/s10707-015-0232-z
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-01238499
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    References listed on IDEAS

    as
    1. Hall, Peter & Turlach, Berwin A., 1999. "Reducing bias in curve estimation by use of weights," Computational Statistics & Data Analysis, Elsevier, vol. 30(1), pages 67-86, March.
    2. Francisco J. Goerlich Gisbert, 2003. "Weighted samples, kernel density estimators and convergence," Empirical Economics, Springer, vol. 28(2), pages 335-351, April.
    3. Peter Diggle, 1985. "A Kernel Method for Smoothing Point Process Data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 34(2), pages 138-147, June.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    spatial process; GIS; Kernel density estimation; polygons; Ripley’s circumference method; visualization; Border bias; edge correction; frontier;
    All these keywords.

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