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Non-homogeneous dynamic Bayesian networks with edge-wise sequentially coupled parameters
MOTIVATION: Non-homogeneous dynamic Bayesian networks (NH-DBNs) are a popular tool for learning networks with time-varying interaction parameters. A multiple changepoint process is used to divide the data into disjoint segments and the network interaction parameters are assumed to be segment-specifi...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7703764/ https://www.ncbi.nlm.nih.gov/pubmed/31504191 http://dx.doi.org/10.1093/bioinformatics/btz690 |