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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...
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| 出版年: | Bioinformatics |
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| 主要な著者: | , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Oxford University Press
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7703764/ https://ncbi.nlm.nih.gov/pubmed/31504191 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btz690 |
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