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Thesis

The predictive view of Bayesian inference

Abstract:

This thesis considers the direct connection between the prediction of future observations and Bayesian inference. Using prediction as a guide, we generalize the Bayesian framework and introduce new methodologies for parameter inference and model selection which improve scalability and performance under model misspecification.

We begin with an introduction in Chapter 1 on methodologies for generalizing Bayesian inference, including the Bayesian bootstrap and general Bayesian updatin...

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Division:
MPLS
Department:
Statistics
Oxford college:
Wolfson College
Role:
Author

Contributors

Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Oxford college:
St Anne's College
Role:
Supervisor
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Programme:
The Alan Turing Institute Doctoral Studentship
Funding agency for:
Fong, CHE
Grant:
EP/N510129/1
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford

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