35 citations · 90 across the 12 of their papers we have counts for
3 papers · 1 filter
Parallel Selected Inversion for Space-Time Gaussian Markov Random Fields
Abylay Zhumekenov, Elias T. Krainski, Håvard Rue
Performing Bayesian inference on large spatio-temporal models requires extracting inverse elements of large sparse precision matrices for marginal variances, as well as estimating…
Non-stationary Bayesian Spatial Model for Disease Mapping based on Sub-regions
Esmail Abdul Fattah, Elias Krainski, Janet van Niekerk +1
This paper aims to extend the Besag model, a widely used Bayesian spatial model in disease mapping, to a non-stationary spatial model for irregular lattice-type data. The goal is t…
Integrated Nested Laplace Approximations for Large-Scale Spatial-Temporal Bayesian Modeling
Lisa Gaedke-Merzhäuser, Elias Krainski, Radim Janalik +2
Bayesian inference tasks continue to pose a computational challenge. This especially holds for spatial-temporal modeling where high-dimensional latent parameter spaces are ubiquito…