dynamic temporal dependence

Thursday, April 26, 2018 - 9:00am - 9:30am
Noel Cressie (University of Wollongong)
Arctic sea-ice extent has been of considerable interest to scientists in recent years, mainly due to its decreasing trend over the past 20 years. In this talk, we propose a hierarchical spatio-temporal generalized linear model (GLM) for binary Arctic-sea-ice data, where data dependencies are introduced through a latent spatio-temporal linear mixed effects model. By using a fixed number of spatial basis functions, the resulting model achieves both dimension reduction and nonstationarity for spatial fields at different time points.
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