7 papers
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…
Linking climate and dengue in the Philippines using a two-stage Bayesian spatio-temporal model
Stephen Jun Villejo, Sara Martino, Janine Illian
Dengue is an infectious disease which poses significant socioeconomic and disease burden in many tropical and subtropical regions of the world. This work aims to provide additional…
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…
A Data Fusion Model for Meteorological Data using the INLA-SPDE method
Stephen Jun Villejo, Sara Martino, Finn Lindgren +1
This work aims to combine two primary meteorological data sources in the Philippines: data from a sparse network of weather stations and outcomes of a numerical weather prediction…
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…