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    Bias correction for parameter estimates of spatial point process models

    Access Status
    Fulltext not available
    Authors
    Baddeley, Adrian
    Turner, R.
    Date
    2014
    Type
    Journal Article
    
    Metadata
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    Citation
    Baddeley, A. and Turner, R. 2014. Bias correction for parameter estimates of spatial point process models. Journal of Statistical Computation and Simulation. 84 (8): pp. 1621-1643.
    Source Title
    JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION
    DOI
    10.1080/00949655.2012.755976
    ISSN
    0094-9655
    School
    Department of Mathematics and Statistics
    URI
    http://hdl.handle.net/20.500.11937/15152
    Collection
    • Curtin Research Publications
    Abstract

    When a spatial point process model is fitted to spatial point pattern data using standard software, the parameter estimates are typically biased. Contrary to folklore, the bias does not reflect weaknesses of the underlying mathematical methods, but is mainly due to the effects of discretization of the spatial domain. We investigate two approaches to correcting the bias: a Newton–Raphson-type correction and Richardson extrapolation. In simulation experiments, Richardson extrapolation performs best.

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