Leverage and Influence Diagnostics for Spatial Point Processes

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. The...

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Main Authors: Baddeley, Adrian, Chang, Y., Song, Y.
Format: Journal Article
Published: WILEY-BLACKWELL 2013
Online Access:http://hdl.handle.net/20.500.11937/42428
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author Baddeley, Adrian
Chang, Y.
Song, Y.
author_facet Baddeley, Adrian
Chang, Y.
Song, Y.
author_sort Baddeley, Adrian
building Curtin Institutional Repository
collection Online Access
description 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. © 2012 Board of the Foundation of the Scandinavian Journal of Statistics.
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institution Curtin University Malaysia
institution_category Local University
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spelling curtin-20.500.11937-424282017-09-13T14:24:47Z Leverage and Influence Diagnostics for Spatial Point Processes Baddeley, Adrian Chang, Y. Song, Y. 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. © 2012 Board of the Foundation of the Scandinavian Journal of Statistics. 2013 Journal Article http://hdl.handle.net/20.500.11937/42428 10.1111/j.1467-9469.2011.00786.x WILEY-BLACKWELL restricted
spellingShingle Baddeley, Adrian
Chang, Y.
Song, Y.
Leverage and Influence Diagnostics for Spatial Point Processes
title Leverage and Influence Diagnostics for Spatial Point Processes
title_full Leverage and Influence Diagnostics for Spatial Point Processes
title_fullStr Leverage and Influence Diagnostics for Spatial Point Processes
title_full_unstemmed Leverage and Influence Diagnostics for Spatial Point Processes
title_short Leverage and Influence Diagnostics for Spatial Point Processes
title_sort leverage and influence diagnostics for spatial point processes
url http://hdl.handle.net/20.500.11937/42428