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- W346906958 abstract "This dissertation investigates the strengths and weaknesses of the current methods of residual analysis for spatial point process models. The primary focus is on the manner in which the space should be partitioned to form residuals. It proposes a new method whereby the differences between the modeled conditional intensity and the observed number of points are assessed over the Voronoi cells generated by the observations. The resulting residuals are substantially less skewed and can be used to construct diagnostic methods of greater statistical power than residuals based on a regular rectangular grid. These advantages are particularly evident for point processes with conditional intensities close to zero, such as those in seismology. Performance is compared using simulated data and applied to models for Southern California earthquakes." @default.
- W346906958 created "2016-06-24" @default.
- W346906958 creator A5055530824 @default.
- W346906958 date "2013-01-01" @default.
- W346906958 modified "2023-09-27" @default.
- W346906958 title "Partition selection for residuals of spatial point process models" @default.
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