Leverage and influence diagnostics for Gibbs spatial point processes

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Leverage and influence diagnostics for Gibbs spatial point processes

For point process models fitted to spatial point pattern data, we describe diagnostic quantities analogous to the classical regression diagnostics of leverage and influence. We develop a simple and accessible approach to these diagnostics, and use it to extend previous results for Poisson point proc...

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Bibliographic Details
Main Authors:	Baddeley, Adrian, Rubak, E., Turner, R.
Format:	Journal Article
Language:	English
Published:	ELSEVIER SCI LTD 2019
Subjects:	Science & Technology Physical Sciences Technology Geosciences, Multidisciplinary Mathematics, Interdisciplinary Applications Remote Sensing Statistics & Probability Geology Mathematics Composite likelihood Conditional intensity DFBETA DFFIT Model validation Pseudolikelihood CASE-DELETION DIAGNOSTICS LOGISTIC-REGRESSION MODEL
Online Access:	http://purl.org/au-research/grants/arc/DP130104470 http://hdl.handle.net/20.500.11937/90993

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