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Objective Bayesian Edge Screening and Structure Selection for Ising Networks
The Ising model is one of the most widely analyzed graphical models in network psychometrics. However, popular approaches to parameter estimation and structure selection for the Ising model cannot naturally express uncertainty about the estimated parameters or selected structures. To address this is...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9021150/ https://www.ncbi.nlm.nih.gov/pubmed/35192102 http://dx.doi.org/10.1007/s11336-022-09848-8 |