5 papers · 1 filter
Are continuous models better than areal models for spatial disease mapping with a large number of small areas?
Ismael Salcedo, Camelia Trandafir, Tomás Goicoa +2
Classical methods for analysing areal mortality data typically rely on Poisson mixed models, which account for spatial and unstructured variability through prior distributions such…
Flexible covariance structures on metric graphs
Karina Lilleborge, Sara Martino, Geir-Arne Fuglstad
Whittle-Matérn (WM) Gaussian random fields (GRFs) are defined as solutions of stochastic partial differential equations (SPDEs) and provide a natural analog of Matérn GRFs on non-E…
Joint Modelling of Line and Point Data on Metric Graphs
Karina Lilleborge, Sara Martino, Geir-Arne Fuglstad +2
Metric graphs are useful tools for describing spatial domains like road and river networks, where spatial dependence act along the network. We take advantage of recent developments…
Validating uncertainty propagation approaches for two-stage Bayesian spatial models using simulation-based calibration
Stephen Jun Villejo, Sara Martino, Janine Illian +2
This work tackles the problem of uncertainty propagation in two-stage Bayesian models, with a focus on spatial applications. A two-stage modeling framework has the advantage of bei…
Spatio-temporal Occupancy Models with INLA
Jafet Belmont, Sara Martino, Janine Illian +1
Modern methods for quantifying and predicting species distribution play a crucial part in biodiversity conservation. Occupancy models are a popular choice for analyzing species occ…