Registered Data

[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.
  • Classification : 62M30, 62P12, 60G60, 60H15, 62F15, Infer spatio-temporal precipitation patter in Austria
  • Format : Talk at Waseda University
  • Author(s) :
    • Corinna Perchtold (Johannes Kepler University, Linz)
    • Evelyn Buckwar (Johannes Kepler University)
    • Johan Lindström (Lund University)