80 citations · 127 across the 12 of their papers we have counts for
4 papers · 1 filter
Geostatistical modeling to capture seismic-shaking patterns from earthquake-induced landslides
Luigi Lombardo, Haakon Bakka, Hakan Tanyas +3
In this paper, we investigate earthquake-induced landslides using a geostatistical model that includes a latent spatial effect (LSE). The LSE represents the spatially structured re…
How to solve the stochastic partial differential equation that gives a Matérn random field using the finite element method
Haakon Bakka
This tutorial teaches parts of the finite element method (FEM), and solves a stochastic partial differential equation (SPDE). The contents herein are considered "known" in the nume…
INLA goes extreme: Bayesian tail regression for the estimation of high spatio-temporal quantiles
Thomas Opitz, Raphaël Huser, Haakon Bakka +1
This work has been motivated by the challenge of the 2017 conference on Extreme-Value Analysis (EVA2017), with the goal of predicting daily precipitation quantiles at the …
Spatial modelling with R-INLA: A review
Haakon Bakka, Håvard Rue, Geir-Arne Fuglstad +5
Coming up with Bayesian models for spatial data is easy, but performing inference with them can be challenging. Writing fast inference code for a complex spatial model with realist…