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<p>We consider models for spatiotemporal Poisson processes with some missing location data. We discuss four models that make provision for missing location data, and their estimation. The corresponding code is available on GitHub as an extension of LASPATED at <a href="https://github.com/vguigues/LASPATED">https://github.com/vguigues/LASPATED</a> in the Missing_Data subdirectory. We tested our models using the process of emergency call arrivals to an emergency medical service, where the emergency reports often omit the location of the emergency. We show the difference made by using models that make provision for missing location data. Finally, we show how to develop models that deal with missing data of time stamp.</p>

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Estimation of spatiotemporal poisson processes with missing data

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年4月25日

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  • Vincent Guigues,
  • Anton Kleywegt,
  • Victor Hugo Nascimento,
  • Lucas Rafael de Andrade

摘要

We consider models for spatiotemporal Poisson processes with some missing location data. We discuss four models that make provision for missing location data, and their estimation. The corresponding code is available on GitHub as an extension of LASPATED at https://github.com/vguigues/LASPATED in the Missing_Data subdirectory. We tested our models using the process of emergency call arrivals to an emergency medical service, where the emergency reports often omit the location of the emergency. We show the difference made by using models that make provision for missing location data. Finally, we show how to develop models that deal with missing data of time stamp.