Learning and Inference methodologies for Hybrid Dynamic Bayesian networks. A case study for a water reservoir system in Andalusia, Spain.
Time series analysis requires powerful and robust tools; at the same time the tools must be intuitive for users. Bayesian networks have been widely applied in static problem modelling, but, in some knowledge areas, Dynamic Bayesian networks are hardly known. Such is the case in the environmental sc...
| Main Authors: | , , , |
|---|---|
| Format: | info:eu-repo/semantics/article |
| Language: | English |
| Published: |
Springer
2024
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10835/15033 |