Bayesian methodsBayesian / computational
多层近似贝叶斯计算
多层近似贝叶斯计算（multilevel ABC）将基于仿真的贝叶斯推断扩展到层次结构数据。当似然函数难以处理且观测值嵌套在组内时，它用层次结构中每一层的模拟来替换直接的似然评估，接受那些模拟的汇总统计量接近观测值的参数抽样。
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Method map
The neighbourhood of related methods — select a node to explore.
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 ↗
- Jasra, A., Singh, S. S., Martin, J. S., & McCoy, E. (2012). Filtering via approximate Bayesian computation. Statistics and Computing, 22(6), 1223–1237. link ↗
如何引用本页
ScholarGate. (2026, June 3). Multilevel Approximate Bayesian Computation. ScholarGate. https://scholargate.app/zh/bayesian/multilevel-approximate-bayesian-computation
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.
- 近似贝叶斯计算仿真↔ compare
- 含缺失数据的贝叶斯分层模型贝叶斯↔ compare
- 分层贝叶斯推断贝叶斯↔ compare
- 马尔可夫链蒙特卡洛 (MCMC)仿真↔ compare
- 多层贝叶斯推断贝叶斯↔ compare
- 顺序蒙特卡洛贝叶斯↔ compare