Predicting spatio-temporal dynamics of dengue using INLA (integrated nested laplace approximation) in Yogyakarta, Indonesia. [PDF]
Dengue is a mosquito-borne disease caused by the dengue virus, primarily transmitted by Aedes aegypti and Aedes albopictus. Its incidence fluctuates due to spatial and temporal factors, necessitating robust modeling approaches for prediction and risk ...
Salim MF, Satoto TBT, Danardono.
europepmc +2 more sources
Spatial modeling with R‐INLA: A review [PDF]
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 realistically‐sized datasets from scratch is time‐consuming, and if changes are made to the model, there is little guarantee that the code performs well.
Bakka, Haakon +8 more
openaire +4 more sources
INLA or MCMC? A Tutorial and Comparative Evaluation for Spatial Prediction in log-Gaussian Cox Processes [PDF]
We investigate two options for performing Bayesian inference on spatial log-Gaussian Cox processes assuming a spatially continuous latent field: Markov chain Monte Carlo (MCMC) and the integrated nested Laplace approximation (INLA). We first describe the
Diggle, Peter J., Taylor, Benjamin M.
core +1 more source
Spatial field reconstruction with INLA
Aims. Monte Carlo radiative transfer (MCRT) simulations are a powerful tool for understanding the role of dust in astrophysical systems and its influence on observations. However, due to the strong coupling of the radiation field and medium across the whole computational domain, the problem is non-local and non-linear, and such simulations are ...
Smole, Majda +3 more
openaire +2 more sources
Bayesian Inference for Multivariate Spatial Models with INLA
Bayesian methods and software for spatial data analysis are generally now well established in the scientific community. Despite the wide application of spatial models, the analysis of multivariate spatial data using R-INLA has not been widely described in the existing literature.
Palmí-Perales, Francisco +4 more
openaire +3 more sources
Interpolating climate variables by using INLA and the SPDE approach
Gridded observational products of the main climate parameters are essential in climate science. Current interpolation approaches, implemented to derive such products, often lack of a proper uncertainty propagation and representation.
G. Fioravanti +3 more
semanticscholar +1 more source
The Majority of Genotypes of the Virulence Gene inlA Are Intact among Natural Watershed Isolates of Listeria monocytogenes from the Central California Coast. [PDF]
Internalin A is an essential virulence gene involved in the uptake of the foodborne pathogen Listeria monocytogenes into host cells. It is intact in clinical strains and often truncated due to Premature Stop Codons (PMSCs) in isolates from processed ...
Lisa Gorski +4 more
doaj +1 more source
A Bayesian spatio-temporal model of panel design data: airborne particle number concentration in Brisbane, Australia [PDF]
This paper outlines a methodology for semi-parametric spatio-temporal modelling of data which is dense in time but sparse in space, obtained from a split panel design, the most feasible approach to covering space and time with limited equipment. The data
Box G. E. P. +6 more
core +2 more sources
Spatial Data Analysis with R-INLA with Some Extensions
The integrated nested Laplace approximation (INLA) provides an interesting way of approximating the posterior marginals of a wide range of Bayesian hierarchical models.
Roger Bivand +2 more
doaj +1 more source
Placental syncytiotrophoblast constitutes a major barrier to vertical transmission of Listeria monocytogenes. [PDF]
Listeria monocytogenes is an important cause of maternal-fetal infections and serves as a model organism to study these important but poorly understood events. L.
A Beham +82 more
core +3 more sources

