Results 31 to 40 of about 10,870,567 (191)

Where Is the Clean Air? A Bayesian Decision Framework for Personalised Cyclist Route Selection Using R-INLA [PDF]

open access: yesBayesian Analysis, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dawkins, LC   +5 more
openaire   +4 more sources

R script for fitting Bayesian spatiotemporal zero-inflated models using INLA [PDF]

open access: yes, 2023
This R code illustrates the steps of fitting Bayesian spatiotemporal zero-inflated models with INLA.
Hui Luan (14300165)
core   +1 more source

Numerical Recipes for Landslide Spatial Prediction Using R-INLA [PDF]

open access: yes, 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 modelling of agro-ecologically significant grassland species using the INLA-SPDE approach [PDF]

open access: yes, 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
core   +1 more source

Modelación espacio-temporal de la incidencia acumulada de COVID-19 en municipios de Chiapas

open access: yesESPACIO 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

A joint Bayesian space–time model to integrate spatially misaligned air pollution data in R‐INLA [PDF]

open access: yesEnvironmetrics, 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   +5 more sources

Modelación de la sobrepoblación relativa en localidades de Chiapas: análisis espacial bayesiano

open access: yesEconomía, 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

hrue/r-inla: This is the public repository for the r-inla project [PDF]

open access: yes, 2020
This is the public repository for the r-inla ...
Niekerk, Janet van   +3 more
core  

A Primer for using INLA to Estimate Ground-Motion Models [PDF]

open access: yes, 2021
This document provides a brief introduction int the use of the R package R-INLA for the development of empirical ground-motion ...
Nicolas Kuehn
core   +1 more source

Aerosol components associated with hospital mortality in systemic sclerosis: an analysis from a nationwide Thailand healthcare database

open access: yesScientific 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

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