Session 10: Time series, random fields and spatial Markov models



Alan GELFAND
Duke University, USA
Analyzing spatial and spatio-temporal angular and
linear data using Gaussian processes
14:00-14:30 @ ULB





Giovanna JONA-LASINIO
Sapienza University, Italy



Francesco LAGONA
Rome 3 University, Italy
A hidden Markov approach to the analysis of space-time environmental
data with linear and circular components
15:00-15:30 @ ULB

