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Thesis

Scalable Bayesian regression utilising marginal information

Abstract:

This thesis explores approaches to regression that utilise the treatment of covariates as random variables. The distribution of covariates, along with the conditional regression model Y | X, define the joint model over (Y,X), and in particular, the marginal distribution of the response Y. This marginal distribution provides a vehicle for the incorporation of prior information, as well as external, marginal data. The marginal distribution of the ...

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Division:
MPLS
Department:
Statistics
Role:
Author

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Role:
Supervisor
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Examiner
Role:
Examiner
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford
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UUID:
uuid:ad69017a-57fb-4b54-bc82-9e564796f55f
Deposit date:
2017-07-21

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