Spherical data consist of observations on the surface of a hypersphere which can be treated as unit vectors in space. Thus the sample space is a circle in 2-dimensions, a sphere in 3-dimensions and special methods which take into account the structure of the sample space are needed to model the data. This course is based on topics in modelling spherical data. A good recent reference to the topic is Mardia and Jupp (2000, Directional Statistics).
Suitable for students who have completed STAT2001.