A Bayesian Synthesis Approach to Data Fusion Using Augmented Data-Dependent Priors
abstract: The process of combining data is one in which information from disjoint datasets sharing at least a number of common variables is merged. This process is commonly referred to as data fusion, with the main objective of creating a new dataset permitting more flexible analyses than the separa...
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| Format: | Doctoral Thesis |
| Language: | English |
| Published: |
2017
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| Online Access: | http://hdl.handle.net/2286/R.I.44280 |