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Bayesian Hierarchical Duration Model for Repeated Events : An Application to Behavioral Observations
This paper presents a continuous-time Bayesian model for analyzing durations of behavior displays in social interactions. Duration data of social interactions are often complex because of repeated behaviors (events) at individual or group (e.g., dyad) level, multiple behaviors (multistates), and sev...
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| 主要な著者: | , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2009
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2832316/ https://ncbi.nlm.nih.gov/pubmed/20209032 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/02664760802587032 |
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