Numerical Recipes for Landslide Spatial Prediction Using R-INLA [PDF]
, 2019 The geomorphological community typically assesses the landslide susceptibility at the catchment or larger scales through spatial predictive models. However, the spatial information is conveyed only through the geographical distribution of the covariates.
Lombardo, Luigi +2 more
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A joint Bayesian space–time model to integrate spatially misaligned air pollution data in R‐INLA [PDF]
Environmetrics, 2020 AbstractIn air pollution studies, dispersion models provide estimates of concentration at grid level covering the entire spatial domain and are then calibrated against measurements from monitoring stations. However, these different data sources are misaligned in space and time. If misalignment is not considered, it can bias the predictions.
C. Forlani +4 more
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Modelación de la sobrepoblación relativa en localidades de Chiapas: análisis espacial bayesiano
Economía, Sociedad y Territorio, 2023 El objetivo de este trabajo es identificar patrones de distribución espacial de la sobrepoblación relativa, medida por la Población Económicamente Activa y la migración, en localidades del estado de Chiapas en 2020.
Cuauhtémoc Calderón Villarreal +2 more
doaj +1 more source
Scientific Reports, 2021 Occupational and environmental associations with systemic sclerosis (SSc) have been confirmed; however, the association between aerosol components and mortality is uncertain.
Chingching Foocharoen +4 more
doaj +1 more source
Spatial modelling of agro-ecologically significant grassland species using the INLA-SPDE approach [PDF]
, 2023 The use of spatially referenced data in agricultural systems modelling has grown in recent decades, however, the use of spatial modelling techniques in agricultural science is limited.
Fichera, Andrew +9 more
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meta4diag: Bayesian Bivariate Meta-Analysis of Diagnostic Test Studies for Routine Practice
Journal of Statistical Software, 2018 This paper introduces the R package meta4diag for implementing Bayesian bivariate meta-analyses of diagnostic test studies. Our package meta4diag is a purpose-built front end of the R package INLA.
Jingyi Guo, Andrea Riebler
doaj +1 more source
Fitting complex ecological point process models with integrated nested Laplace approximation [PDF]
, 2013 Summary 1. We highlight an emerging statistical method, integrated nested Laplace approximation (INLA), which is ideally suited for fitting complex models to many of the rich spatial data sets that ecologists wish to analyse. 2.
Gallego-Fernández, Juan B. +9 more
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On the choice of the mesh for the analysis of geostatistical data using R-INLA
Communications in Statistics - Theory and Methods, 2018 Many methods used in spatial statistics are computationally demanding, and so, the development of more computationally efficient methods has received attention. A important development is the integrated nested Laplace approximation method which is carry out Bayesian analysis more efficiently This method, for geostatistical data, is done considering the
Ana Julia Righetto +3 more
openaire +2 more sources
Bayesian modeling of the temporal evolution of seismicity using the ETAS.inlabru package
Frontiers in Applied Mathematics and Statistics, 2023 The epidemic type aftershock sequence (ETAS) model is widely used to model seismic sequences and underpins operational earthquake forecasting (OEF).
Mark Naylor +4 more
doaj +1 more source
Modeling Multivariate Positive-Valued Time Series Using R-INLA [PDF]
, 2022 In this paper we describe fast Bayesian statistical analysis of vector positive-valued time series, with application to interesting financial data streams.
Dutta, Chiranjit +2 more
core +1 more source