Abstract

Spatio-temporal modelling central to many modern applications, but the dimensionality of the domain of such data poses both conceptual and computational statistical challenges. These are exacerbated in a nonparametric setting, where questions related to asymptotic framework and invariance assumptions arise. The areas of functional data analysis and random field analysis have been attacking these problems separately, but are now increasingly coming into contact, especially when replication may be feasible. The workshop will bring together experts from both areas to explore recent trends and novel challenges.