One-day Conference in Geometry and Statistics


The aim of this one-day conference is to attract pure mathematicians and in particular, Geometers, to work together with Statisticians in this area by highlighting interesting and powerful applications of Geometry to Statistics.

The conference takes a very broad view of the interplay between Geometry (Differential, Algebraic, Convex, etc) and Statistics which includes:

•the model functional space approach called Information Geometry which endows the space of probability densities with appropriate differential geometric structures and from there develops method to analyse data
•the data geometry approach which gives geometries to the space of the data and for which prominent examples are the computational geometry based algorithms used in Robust Statistics
•the geometric approach to enhance/understand modern Monte Carlo sampling techniques such as Hamiltonian Monte Carlo

As such, the conference intends to bring opportunities
•to extend the scope of the applications of Geometry research and hence to increase its impact
•to develop new projects (research and student) jointly with Statisticians

The format of this one-day conference consists of a series of talks by researchers who have worked on this area that will highlight the key elements of the interplay between Geometry and Statistics in their particular areas of expertise.

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