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贝叶斯个体模拟 — 具有贝叶斯参数估计的概率个体水平模拟

贝叶斯个体模拟将异质性人群的个体水平模拟与贝叶斯统计推断相结合。每个合成个体遵循一个概率生命路径,而模型参数则受先验信念的支配,这些信念会根据观测数据进行更新。这种方法广泛用于卫生技术评估、公共政策成本核算和人口预测,在这些领域中,模型输入和结构性假设中的不确定性必须被正式量化并传播到输出估计值中。

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来源

  1. Williamson, P., Birkin, M., & Rees, P. H. (2000). The estimation of population microdata by using data from small area statistics and samples of anonymised records. Environment and Planning A, 30(5), 785-816. DOI: 10.1068/a300785
  2. Spiegelhalter, D. J., Abrams, K. R., & Myles, J. P. (2004). Bayesian Approaches to Clinical Trials and Health-Care Evaluation. John Wiley & Sons. ISBN: 9780471499756

如何引用本页

ScholarGate. (2026, June 3). Bayesian Microsimulation — Probabilistic individual-level simulation with Bayesian parameter estimation. ScholarGate. https://scholargate.app/zh/simulation/bayesian-microsimulation

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被引用于

ScholarGateBayesian Microsimulation (Bayesian Microsimulation — Probabilistic individual-level simulation with Bayesian parameter estimation). 于 2026-06-15 检索自 https://scholargate.app/zh/simulation/bayesian-microsimulation · 数据集: https://doi.org/10.5281/zenodo.20539026