Results 21 to 30 of about 3,465 (151)
Where Is the Clean Air? A Bayesian Decision Framework for Personalised Cyclist Route Selection Using R-INLA [PDF]
Bayesian Analysis, 2021 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dawkins, LC +5 more
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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
openaire +4 more sources
Spatial Data Analysis with R-INLA with Some Extensions
Journal of Statistical Software, 2015 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
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
openaire +6 more sources
Fast and accurate Bayesian model criticism and conflict diagnostics using R‐INLA [PDF]
Stat, 2017 Bayesian hierarchical models are increasingly popular for realistic modelling and analysis of complex data. This trend is accompanied by the need for flexible, general and computationally efficient methods for model criticism and conflict detection. Usually, a Bayesian hierarchical model incorporates a grouping of the individual data points, as, for ...
Ferkingstad, Egil +2 more
openaire +3 more sources
Modelación espacio-temporal de la incidencia acumulada de COVID-19 en municipios de Chiapas
ESPACIO I+D: Innovación más Desarrollo, 2020 El trabajo tiene como finalidad analizar la evolución de la tasa de incidencia acumulada de COVID-19 en los municipios de Chiapas, entre los meses de Febrero a Julio del año 2020, a partir de la aplicación de tres modelos bayesianos jerárquicos espacio ...
Gerardo Núñez Medina
doaj +1 more source
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
, 2021 The statistical methods used to analyze medical data are becoming increasingly complex. Novel statistical methods increasingly rely on simulation studies to assess their validity. Such assessments typically appear in statistical or computational journals, and the methodology is later introduced to the medical community through tutorials.
Khan K, Luo H, Xi W.
europepmc +3 more sources
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