教師資料查詢 | 類別: 期刊論文 | 教師: 張雅梅 Ya-mei, Chang (瀏覽個人網頁)

標題:Residual Diagnostics for Covariate Effects in Spatial Point Process Models
學年102
學期1
出版(發表)日期2013/10/01
作品名稱Residual Diagnostics for Covariate Effects in Spatial Point Process Models
作品名稱(其他語言)
著者Baddeley, Adrian; Chang, Ya-Mei; Song, Yong; Turner, Rolf
單位淡江大學統計學系
出版者Philadelphia: Taylor &; Francis Inc.
著錄名稱、卷期、頁數Journal of Computational and Graphical Statistics 22(4), pp.886-905
摘要For a spatial point process model in which the intensity depends on spatial covariates, we develop graphical diagnostics for validating the covariate effect term in the model, and for assessing whether another covariate should be added to the model. The diagnostics are point-process counterparts of the well-known partial residual plots (component-plus-residual plots) and added variable plots for generalized linear models. The new diagnostics can be derived as limits of these classical techniques under increasingly fine discretization, which leads to efficient numerical approximations. The diagnostics can also be recognized as integrals of the point process residuals, enabling us to prove asymptotic results. The diagnostics perform correctly in a simulation experiment. We demonstrate their utility in an application to geological exploration, in which a point pattern of gold deposits is modeled as a point process with intensity depending on the distance to the nearest geological fault. Online supplementary materials include technical proofs, computer code, and results of a simulation study.
關鍵字Added variable plot;Component-plus-residual plot;Generalized linear models;Partial residual plot;Point process residuals;Spatial covariates
語言英文(美國)
ISSN1537-2715;1061-8600
期刊性質國外
收錄於SCI;
產學合作
通訊作者Baddeley, Adrian
審稿制度
國別美國
公開徵稿
出版型式,電子版,紙本
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