Minisymposium (ID: SS-SDAG)

Statistical Data Analysis and Geometry

Organizers:Shoja Chenouri & Paul Marriott (University of Waterloo)

This session is dedicated to statistical data analysis and modelling through geometric concepts, and looks at ways that geometry and statistics can inform each other.

Traditionally, statistical methods assume that data lies in linear subspaces of some ambient Euclidean space. However, in many application problems,in fact it lives in non-Euclidean spaces, and therefore should be naturally modelled on manifolds, or other geometric objects.

The goal of this session is to bring together statisticians who study or apply geometric tools, and those who have a general interest in applied geometry.

Please note the ID code assigned to your presentation (identical to the ID code of your accepted abstract). It is required for submitting your paper for the AMMCS-2013 Proceedings. Submission is not mandatory. All submitted papers will be refereed and only accepted papers will be published in the AMMCS-2013 Proceedings.

If you intend to submit your paper, please go to the AMMCS-2013 Proceedings Page. Follow exactly the Author Instructions accessible from that page.