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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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Tristan Daniel Gray-Davies More by this author

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Examiner
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Examiner
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Supervisor
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Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford

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