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- W3160435793 abstract "We propose a root-Gaussian Cox process for the analysis of data that is aggregated in space and where the boundaries of geographic regions change over time. A generalized EMS algorithm exploits sparse structure resulting in significant computational gains. Inference for a spatial intensity surface is conducted using a non-central chi-square distribution. A simulation study over the state of Kentucky demonstrates the efficacy of the methodology. An application to a large region in India allows the investigation of the spatial structure of the incidence of Plasmodium falciparum, a severe strain of malaria." @default.
- W3160435793 created "2021-05-24" @default.
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- W3160435793 date "2021-06-01" @default.
- W3160435793 modified "2023-10-18" @default.
- W3160435793 title "The root-Gaussian Cox process and a generalized EMS algorithm" @default.
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- W3160435793 doi "https://doi.org/10.1016/j.spasta.2021.100509" @default.
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