@article{1484022,
      recid = {1484022},
      author = {Hrafnkelsson, Birgir,},
      title = {Statistical modeling using Bayesian latent Gaussian models  : with applications in geophysics and environmental  sciences /},
      pages = {1 online resource (vii, 251 pages) :},
      abstract = {This book focuses on the statistical modeling of  geophysical and environmental data using Bayesian latent  Gaussian models. The structure of these models is described  in a thorough introductory chapter, which explains how to  construct prior densities for the model parameters, how to  infer the parameters using Bayesian computation, and how to  use the models to make predictions. The remaining six  chapters focus on the application of Bayesian latent  Gaussian models to real examples in glaciology, hydrology,  engineering seismology, seismology, meteorology and  climatology. These examples include: spatial predictions of  surface mass balance; the estimation of Antarcticas  contribution to sea-level rise; the estimation of rating  curves for the projection of water level to discharge;  ground motion models for strong motion; spatial modeling of  earthquake magnitudes; weather forecasting based on  numerical model forecasts; and extreme value analysis of  precipitation on a high-dimensional grid. The book is aimed  at graduate students and experts in statistics, geophysics,  environmental sciences, engineering, and related fields.},
      url = {http://library.usi.edu/record/1484022},
      doi = {https://doi.org/10.1007/978-3-031-39791-2},
}