Bayesian methodsBayesian / computational
动态贝叶斯推断
动态贝叶斯推断是一种在随时间推移接收新观测值时顺序执行贝叶斯更新的框架。它不适用于拟合固定数据集的静态模型，而是跟踪潜在状态或参数的后验分布如何逐步演变，将先验与每个新的似然结合起来，生成一个向前传播的更新后验。
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来源
- West, M. & Harrison, J. (1997). Bayesian Forecasting and Dynamic Models (2nd ed.). Springer. ISBN: 978-0387947259
- Murphy, K. P. (2002). Dynamic Bayesian Networks: Representation, Inference and Learning. Ph.D. Dissertation, University of California, Berkeley. link ↗
如何引用本页
ScholarGate. (2026, June 3). Dynamic Bayesian Inference. ScholarGate. https://scholargate.app/zh/bayesian/dynamic-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.
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