Leverage and influence diagnostics for Gibbs spatial point processes

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

Internet

http://purl.org/au-research/grants/arc/DP130104470
http://hdl.handle.net/20.500.11937/90993

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