Subsampling Strategies for Bayesian Variable Selection and Model Averaging in GLM and BGNLM
Bayesian Generalized Nonlinear Models (BGNLM) offer a flexible alternative to GLM while still providing better interpretability than machine learning techniques such as neural networks. In BGNLM, the methods of Bayesian Variable Selection and Model Averaging are applied in an extended GLM setting. M...
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| Format: | Others |
| Language: | English |
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Stockholms universitet, Statistiska institutionen
2021
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-194715 |