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Updated: Jan 16, 2026

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模拟稀疏的裂谷热发病率数据:对零膨胀的自我激发和自动回归模型的贝叶斯观点

Alexandros Angelakis1,2, Bryan O Nyawanda1,2, Penelope Vounatsou3,4

  • 1Swiss Tropical and Public Health Institute, Kreuzstrasse 2, Allschwil, CH-4123, Basel-Land, Switzerland.

BMC infectious diseases
|September 30, 2025
PubMed
概括

零膨胀模型显著提高了裂谷热 (RVF) 预测准确度,特别是在稀疏的监测数据下. 使用降雨数据的零膨胀负二项式模型为RVF流行地区提供了最可靠的预测.

关键词:
贝叶斯的推理 贝叶斯的推理通用自回归移动平均 (GARMA)负二项式是一个负二项式.自己激发的过程过程.监督 监督 监督 监督 监督 监督时间序列时间序列零通货膨胀的目标是零通货膨胀

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