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不同质的Poisson时空模型的参数的状态空间先前分布

Fidel Ernesto Castro Morales1

  • 1Department of Statistics, Federal University of Rio Grande do Norte, Natal, RN, Brazil.

Biometrical journal. Biometrische Zeitschrift
|July 9, 2023
PubMed
概括

本研究介绍了一种灵活的非均的Poisson时空模型,用于分析极端降雨. 新模型通过结合时间气候变化来增强预测,优于现有方法.

关键词:
异型的过程是异型的过程.极端降雨的频率 极端降雨的频率不同质的Poisson过程空间变形的空间变形状态空间之前的分布.

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