Toward a scalable Bayesian workflow
A scalable Bayesian workflow needs the combination of fast but reliable computing, efficient but targeted model evaluation, and extensive but directed model building and expansion. In this thesis, I develop a sequence of methods to push the scalability frontier of the workflow. First, I study dia...
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| Language: | English |
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2021
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| Online Access: | https://doi.org/10.7916/d8-smy5-ta15 |