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Mixed-Effect Time-Varying Network Model and Application in Brain Connectivity Analysis
Time-varying networks are fast emerging in a wide range of scientific and business applications. Most existing dynamic network models are limited to a single-subject and discrete-time setting. In this article, we propose a mixed-effect network model that characterizes the continuous time-varying beh...
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| 出版年: | J Am Stat Assoc |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2019
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8314561/ https://ncbi.nlm.nih.gov/pubmed/34321703 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/01621459.2019.1677242 |
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