Bayesian methodsBayesian / computational
稳健近似贝叶斯计算
稳健ABC将标准近似贝叶斯计算（Approximate Bayesian Computation, ABC）扩展，以处理异常值、模型误设和对汇总统计量选择的敏感性。通过用稳健的替代方法（如复合分数、修剪统计量或合成似然）替换常规距离度量，它可以保护后验推断免受非典型观测值或不完美模拟器造成的扭曲。
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Method map
The neighbourhood of related methods — select a node to explore.
来源
- Ruli, E., Sartori, N. & Ventura, L. (2016). Approximate Bayesian computation with composite score functions. Statistics and Computing, 26(3), 679–692. DOI: 10.1007/s11222-015-9551-z ↗
- Frazier, D. T., Drovandi, C. & Nott, D. J. (2020). Robust Approximate Bayesian Inference with Synthetic Likelihood. Journal of Computational and Graphical Statistics, 30(4), 958–976. DOI: 10.1080/10618600.2021.1875839 ↗
如何引用本页
ScholarGate. (2026, June 3). Robust Approximate Bayesian Computation. ScholarGate. https://scholargate.app/zh/bayesian/robust-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
- 带有测量误差的贝叶斯推断贝叶斯↔ compare
- 粒子滤波器（序贯蒙特卡洛）贝叶斯↔ compare
- 稳健贝叶斯推断贝叶斯↔ compare
- 鲁棒变分推断贝叶斯↔ compare
- 顺序蒙特卡洛贝叶斯↔ compare