Process / pipeline
近似贝叶斯计算 — 无似然推断
近似贝叶斯计算（Approximate Bayesian Computation, ABC）是一类基于模拟的推断方法，它能在不需要解析可处理的似然函数的情况下估计后验分布。ABC由Beaumont、Zhang和Balding（2002）在群体遗传学背景下提出，用重复的模型模拟和对模拟数据与观测数据之间汇总统计量的比较来替代难以处理的似然函数。
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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 ↗
- Sisson, S.A., Fan, Y. & Beaumont, M.A. (Eds.) (2018). Handbook of Approximate Bayesian Computation. Chapman & Hall/CRC. DOI: 10.1201/9781315117195 ↗
如何引用本页
ScholarGate. (2026, June 1). Approximate Bayesian Computation (ABC). ScholarGate. https://scholargate.app/zh/simulation/approximate-bayesian-computation
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