Bayesian methodsBayesian / computational
空间贝叶斯推断
空间贝叶斯推断将贝叶斯分层建模应用于由地理位置索引的数据。通过对特定位置的随机效应设置结构化的空间先验，模型可以借鉴邻近区域或附近点的信息，生成平滑的、量化了不确定性的空间变化结果图，如疾病率、污染水平、物种丰度或环境风险。
阅读完整方法
仅限会员
登录使用免费账户登录即可阅读本节。
Method map
The neighbourhood of related methods — select a node to explore.
来源
- Banerjee, S., Carlin, B. P. & Gelfand, A. E. (2015). Hierarchical Modeling and Analysis for Spatial Data (2nd ed.). CRC Press. ISBN: 978-1439819173
- Besag, J., York, J. & Mollie, A. (1991). Bayesian image restoration, with two applications in spatial statistics. Annals of the Institute of Statistical Mathematics, 43(1), 1-20. DOI: 10.1007/BF00116466 ↗
如何引用本页
ScholarGate. (2026, June 3). Spatial Bayesian Inference. ScholarGate. https://scholargate.app/zh/bayesian/spatial-bayesian-inference
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.
Compare side by side →