Available Research Project

Monte Carlo methods for network analysis

Dr Richard Everitt

The analysis of data based on networks is increasingly important in many applications (for example: the analysis of communications networks or online social networks; tracking the spread of disease across a network). However, the statistical analysis of some of the most basic models for networks is non-trivial. In order to accurately account for missing data, we use a Bayesian model for the network data and Monte Carlo methods for inference under these models. These models are known as "doubly intractable", because they do not permit a direct application of standard Monte Carlo methods. As a result, advanced Monte Carlo methods are required for the use of these models. The development of such methods is the aim of this project.

For further details please contact Dr Richard Everitt.

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Please apply online at www.reading.ac.uk/pgapply or complete the application form and return it by email or by post. Note that the general University requirement for a lengthy research proposal is not a requirement for applicants to Mathematics or Statistics.


Please contact our postgraduate research administrator, Kristine Aldridge.

Telephone: +44 (0) 118 378 8991

Email: maths-pg@reading.ac.uk

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