Bayesian methodsBayesian / computational
空间近似贝叶斯计算
空间近似贝叶斯计算（Spatial ABC）是一种无似然的贝叶斯推断框架，适用于似然函数难以处理或计算成本过高的空间数据模型。它从先验分布中抽取候选参数，在这些参数下模拟具有空间结构的数据集，并仅接受模拟的空间汇总统计量与观测数据接近的抽样，从而构建模型参数的近似后验分布。
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来源
- Beaumont, M. A., Zhang, W., & Balding, D. J. (2002). Approximate Bayesian computation in population genetics. Genetics, 162(4), 2025–2035. DOI: 10.1093/genetics/162.4.2025 ↗
- Diggle, P. J., & Gratton, R. J. (1984). Monte Carlo methods of inference for implicit statistical models. Journal of the Royal Statistical Society: Series B, 46(2), 193–212. DOI: 10.1111/j.2517-6161.1984.tb01290.x ↗
如何引用本页
ScholarGate. (2026, June 3). Spatial Approximate Bayesian Computation. ScholarGate. https://scholargate.app/zh/bayesian/spatial-approximate-bayesian-computation
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