Decomposition of Variance for Spatial Cox Processes |
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Authors: | ABDOLLAH JALILIAN YONGTAO GUAN RASMUS WAAGEPETERSEN |
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Institution: | 1. Department of Statistics, Razi University;2. Department of Management Science, Miami University;3. Department of Mathematical Sciences, Aalborg University |
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Abstract: | Abstract. Spatial Cox point processes is a natural framework for quantifying the various sources of variation governing the spatial distribution of rain forest trees. We introduce a general criterion for variance decomposition for spatial Cox processes and apply it to specific Cox process models with additive or log linear random intensity functions. We moreover consider a new and flexible class of pair correlation function models given in terms of normal variance mixture covariance functions. The proposed methodology is applied to point pattern data sets of locations of tropical rain forest trees. |
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Keywords: | additive random intensity composite likelihood Cox process Maté rn covariance function normal variance mixture pair correlation function variance component |
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