Spatial modeling and inference with SPDE based Gaussian Markov Random Fields
Sprache des Vortragstitels:
Englisch
Original Tagungtitel:
Workshop Junior female researchers in probability
Sprache des Tagungstitel:
Englisch
Original Kurzfassung:
Gaussian random fields (GRFs) are a type of geostatistical model used in a range of spatial inference problems. In many such contexts data are available at a given spatial scale (or multiple scales), whereas inference or predictions are required at another scale that represents a different spatial configuration. We are in particular interested in downscaling in the context of global to local climate models, where GRFs play an important role, as a small number of parameters can be used to express a wide range of spatial properties.
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 simulation method and discuss challenges in this situation.
Sprache der Kurzfassung:
Englisch
Englischer Vortragstitel:
Spatial modeling and inference with SPDE based Gaussian Markov Random Fields
Forschungs-