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Bayesian Spatial Autoregressive Lag Model

设想一个社区的房价,当周边社区房价上涨时,该社区的房价也会被拉高,而不仅仅是受当地特征的影响。空间滞后模型通过邻居结果的加权平均来捕捉这种“传染”效应。贝叶斯版本更进一步:它不提供一个关于传染强度强弱的单一最佳猜测值,而是提供一个完整的概率分布。这个分布既反映了数据证据,也反映了你所带来的任何先验知识(或无知),并将不确定性一直传递到预测和政策影响的估计中。

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来源

  1. LeSage, J. P., & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press / Taylor & Francis. ISBN: 978-1420064247
  2. LeSage, J. P. (1997). Bayesian Estimation of Spatial Autoregressive Models. International Regional Science Review, 20(1-2), 113-129. DOI: 10.1177/016001769702000107

如何引用本页

ScholarGate. (2026, June 3). Bayesian Spatial Autoregressive Lag Model. ScholarGate. https://scholargate.app/zh/spatial-analysis/bayesian-spatial-lag-model

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被引用于

ScholarGateBayesian Spatial Lag Model (Bayesian Spatial Autoregressive Lag Model). 于 2026-06-15 检索自 https://scholargate.app/zh/spatial-analysis/bayesian-spatial-lag-model · 数据集: https://doi.org/10.5281/zenodo.20539026