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    請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/92333

    題名: Leverage and Influence Diagnostics for Spatial Point Processes
    作者: Baddeley, Adrian;Chang, Ya-Mei;Song, Yong
    貢獻者: 淡江大學統計學系
    關鍵詞: deletion derivative;Gâteaux derivative;Gibbs point process;point process residuals;Poisson point process;pseudolikelihood;raised incidence model;residuals;spatial clustering;spatial covariates
    日期: 2012-06-14
    上傳時間: 2013-10-01 15:47:13 (UTC+8)
    出版者: Chichester: Wiley-Blackwell Publishing Ltd.
    摘要: For a spatial point process model fitted to spatial point pattern data, we develop diagnostics for model validation, analogous to the classical measures of leverage and influence in a generalized linear model. The diagnostics can be characterized as derivatives of basic functionals of the model. They can also be derived heuristically (and computed in practice) as the limits of classical diagnostics under increasingly fine discretizations of the spatial domain. We apply the diagnostics to two example datasets where there are concerns about model validity.
    關聯: Scandinavian Journal of Statistics 40(1), pp.86-104
    DOI: 10.1111/j.1467-9469.2011.00786.x
    顯示於類別:[統計學系暨研究所] 期刊論文


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