Regression modelGIS / spatial
贝叶斯空间误差模型
贝叶斯空间误差模型(Bayesian SEM)估计一种回归模型,其中空间自相关误差项通过空间权重矩阵明确建模,而所有参数——回归系数、空间误差自相关和误差方差——通过贝叶斯推断获得完整的后验分布,而非点估计。
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Method map
The neighbourhood of related methods — select a node to explore.
来源
- LeSage, J. P., & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press / Taylor & Francis. ISBN: 978-1420064247
- Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic Publishers. ISBN: 978-9024737291
如何引用本页
ScholarGate. (2026, June 3). Bayesian Spatial Error Model. ScholarGate. https://scholargate.app/zh/spatial-analysis/bayesian-spatial-error-model
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Bayesian Spatial Durbin Model空间分析↔ compare
- Bayesian Spatial Lag Model空间分析↔ compare
- 地理加权回归 (GWR)空间分析↔ compare
- Moran's I空间分析↔ compare
- 空间自相关空间分析↔ compare
- 空间误差模型 (SEM)空间分析↔ compare