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Beyond prediction: A framework for inference with variational approximations in mixture models
Variational inference is a popular method for estimating model parameters and conditional distributions in hierarchical and mixed models, which arise frequently in many settings in the health, social, and biological sciences. Variational inference in a frequentist context works by approximating intr...
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| Yayımlandı: | J Comput Graph Stat |
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| Asıl Yazarlar: | , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
2019
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7380652/ https://ncbi.nlm.nih.gov/pubmed/32713999 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/10618600.2019.1609977 |
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