Intensity estimation of spatial point processes based on area-aggregated data

被引:0
|
作者
Chi-Wei Lai
Hsin-Cheng Huang
机构
[1] National Tsing Hua University,Institute of Statistics
[2] Academia Sinica,Institute of Statistical Science
来源
Japanese Journal of Statistics and Data Science | 2020年 / 3卷
关键词
Area censoring; Inhomogeneous spatial Poisson processes; Kernel intensity estimation; Parametric bootstrap; Standardized mortality ratio;
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摘要
We consider estimation of intensity function for spatial point processes based on area-aggregated count data. Given a spatial point pattern of events, we can estimate its intensity function using the kernel method. However, when data are given in a spatially aggregated form with only the numbers of events in geographical subregions available, traditional methods developed for point patterns become infeasible. In this research, a modified kernel method is proposed to estimate the intensity function based on aggregated count data. Some numerical examples are provided to demonstrate the effectiveness of the proposed method.
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页码:413 / 428
页数:15
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