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Using multi-step proposal distribution for improved MCMC convergence in Bayesian network structure learning
Bayesian networks have become popular for modeling probabilistic relationships between entities. As their structure can also be given a causal interpretation about the studied system, they can be used to learn, for example, regulatory relationships of genes or proteins in biological networks and pat...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2015
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5270512/ https://www.ncbi.nlm.nih.gov/pubmed/28316611 http://dx.doi.org/10.1186/s13637-015-0024-7 |