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Updated: May 22, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

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贝叶斯对基于随机代理的模型通过随机森林进行校准.

Connor Robertson1, Cosmin Safta1, Nicholson Collier2,3

  • 1Sandia National Laboratories, Livermore, CA, USA.

Statistics in medicine
|March 14, 2025
PubMed
概括

这项研究引入了一种随机森林代用模型,以加快基于流行病学代理物的模型 (ABM). 这种方法有效地校准了CityCOVID模型,用于预测COVID-19住院和死亡.

关键词:
贝叶斯的校准是贝叶斯的校准.美国MCMCMCMCMCMCMCMC基于代理的建模.流行病学流行病学机器学习的替代品

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