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Thesis

Graphical model selection for gaussian conditional random fields in the presence of latent variables: theory and application to genetics

Abstract:

The task of performing graphical model selection arises in many applications in science and engineering. The field of application of interest in this thesis relates to the needs of datasets that include genetic and multivariate phenotypic data. There are several factors that make this problem particularly challenging: some of the relevant variables might not be observed, high-dimensionality might cause identifiability issues and, finally, it might be preferable to learn the model over a su...

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Department:
University Of Oxford
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Author

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Department:
University Of Oxford
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Supervisor
Department:
University Of Oxford
Role:
Supervisor
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Grant:
EP/F500394/1
Funding agency for:
Benjamin Frot
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford

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