Hierarchical multivariate point processes


This project deals with a complex hierarchical model for a multivariate spatial point process. A lower-dimensional part of the point process is modelled by a multivariate Cox process and conditional on this part the remaining part is modelled by a conditional multivariate Markov point process. The model will be applied in the analysis of a huge data set, consisting of measurements of the positions of plants from a range of species. In cooperation with Janine B. Illian, University of Abertay Dundee, UK. Supported by MaPhySto and the Danish Natural Science Research Council
Effektiv start/slut dato31/12/200731/12/2007