92 citations · 232 across the 37 of their papers we have counts for
4 papers · 1 filter
A skew Gaussian decomposable graphical model
Hamid Zareifard, Havard Rue, Majid Jafari Khaledi +1
This paper propose a novel decomposable graphical model to accommodate skew Gaussian graphical models. We encode conditional independence structure among the components of the mult…
Multivariate Gaussian Random Fields Using Systems of Stochastic Partial Differential Equations
Xiangping Hu, Daniel Simpson, Finn Lindgren +1
In this paper a new approach for constructing \emph{multivariate} Gaussian random fields (GRFs) using systems of stochastic partial differential equations (SPDEs) has been introduc…
Non-stationary Spatial Modelling with Applications to Spatial Prediction of Precipitation
Geir-Arne Fuglstad, Daniel Simpson, Finn Lindgren +1
A non-stationary spatial Gaussian random field (GRF) is described as the solution of an inhomogeneous stochastic partial differential equation (SPDE), where the covariance structur…
Exploring a New Class of Non-stationary Spatial Gaussian Random Fields with Varying Local Anisotropy
Geir-Arne Fuglstad, Finn Lindgren, Daniel Simpson +1
Gaussian random fields (GRFs) constitute an important part of spatial modelling, but can be computationally infeasible for general covariance structures. An efficient approach is t…