Phil Pollett's Research Pages


ARC Funded Projects

Random Discrete Structures: Approximations and Applications

[With Andrew Barbour, Nathan Ross, and Aihua Xia (The University of Melbourne)]


The behaviour of many real world systems can be modelled by random discrete structures evolving over time. For example, the sizes of populations of frogs in some close patches of forests can be modelled as interacting random processes. The aim of the project is to investigate large discrete random structures that arise from real world application in areas such as biology, complex networks and insurance. The project is at the interface of mathematics and "big data" applications and so the work of the project provides theoretical and heuristic underpinnings useful in the algorithms and techniques of practitioners. Understanding the applications in the project requires new, broadly applicable methods and developing such is a complementary aim.

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