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Thesis

Graph-theoretic methods in discrimination and classification

Abstract:

This thesis is concerned with the graphical modelling of multivariate data. The main aim of graphical modelling is to provide an easy to understand visual representation of, often complex, data relationships by fitting graphs to data. The graphs consist of nodes denoting random variables and connecting lines or edges are used to depict variable dependencies. Equivalently, the absence of particular edges in a graph describe conditional independencies between random variables. The resulting ...

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Peer review status:
Peer Reviewed

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Department:
University of Oxford
Role:
Author
This thesis was digitised thanks to the generosity of Dr Leonard Polonsky More from this funder
Publication date:
1998
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford
Local pid:
polonsky:1:6

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