方法证据记录
Hierarchical Bayesian Network
A hierarchical Bayesian network is a probabilistic graphical model that organizes variables across multiple levels of abstraction. Higher-level nodes govern the prior distributions of lower-level nodes through hyperparameters, enabling structured sharing of information across groups, contexts, or data subsets while preserving the directed acyclic graph (DAG) representation of conditional dependencies.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Hierarchical Bayesian Network
分类方法记录 · bayesian / bayesian
- Koller, D. & Friedman, N. (2009). Probabilistic Graphical Models: Principles and Techniques. MIT Press. · ISBN 978-0262013192
- Friedman, N., Getoor, L., Koller, D. & Pfeffer, A. (1999). Learning probabilistic relational models. Proceedings of the 16th International Joint Conference on Artificial Intelligence (IJCAI-99), 1300-1307. · URL
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