[02316] Spatio-temporal modeling with SPDE based GMRF
Session Time & Room : 3D (Aug.23, 15:30-17:10) @E504
Type : Contributed Talk
Abstract : Gaussian random fields (GRFs) are a type of geostatistical model used in spatial inference problems. In many such contexts data are available at a given spatial scale, whereas predictions are required at another scale that represents a different spatial configuration.
The GRF model of interest and the accompanying Bayesian inferential procedure use the INLA-SPDE approach. In this talk I will describe the GRF model, the inference procedure and discuss challenges in this situation.