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Details of Grant 

EPSRC Reference: EP/I009450/1
Title: Information geometry of graphs
Principal Investigator: Johnson, Professor OT
Other Investigators:
Researcher Co-Investigators:
Project Partners:
Department: Mathematics
Organisation: University of Bristol
Scheme: Standard Research
Starts: 01 September 2011 Ends: 31 August 2013 Value (£): 179,771
EPSRC Research Topic Classifications:
Statistics & Appl. Probability
EPSRC Industrial Sector Classifications:
No relevance to Underpinning Sectors
Related Grants:
Panel History:
Panel DatePanel NameOutcome
09 Sep 2010 Mathematics Prioritisation Panel Deferred
24 Nov 2010 Mathematics Responsive Mode Prioritisation Panel Announced
Summary on Grant Application Form
Entropy quantifies the way in which, for example, the outcome of tossing a fair coin is harder to predict than with a biased one. It plays a fundamental role in understanding how information is transmitted over noisy communication networks, and how large amounts of information can be stored in as small devices as possible (data compression). More recently, through the emerging field of Information Geometry, it has become clear that entropy can provide understanding of more fundamental questions of statistical inference. Specifically, Information Geometry offers a way to define a `distance' between distributions of random events, giving an unambiguous way to decide how different two models of randomness really are. However, these results are generally only understood in the context of real-valued random events, whereas many random events (those to do with counting, for example) take values in just the set 0,1,2,.... We propose to combine the expertise of the PI in the field of Information Theory with the RA's background in functional analysis, in order to define distance measures in a similar way for these counting processes, and to understand the properties of the resulting measures.
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Organisation Website: http://www.bris.ac.uk