Results 11 to 20 of about 1,581 (122)

Spatial modelling of agro-ecologically significant grassland species using the INLA-SPDE approach

open access: yesScientific Reports, 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.
Andrew Fichera   +4 more
doaj   +1 more source

Spatially Dependent Bayesian Modeling of Geostatistics Data and Its Application for Tuberculosis (TB) in China

open access: yesMathematics, 2023
Geostatistics data in regions always have highly spatial heterogeneous, yet the regional features of the data itself cannot be ignored. In this paper, a novel latent Bayesian spatial model is proposed, which incorporates the spatial dependence of ...
Zongyuan Xia   +4 more
doaj   +1 more source

Estimating Spatial Econometrics Models with Integrated Nested Laplace Approximation

open access: yesMathematics, 2021
The integrated nested Laplace approximation (INLA) provides a fast and effective method for marginal inference in Bayesian hierarchical models. This methodology has been implemented in the R-INLA package which permits INLA to be used from within R ...
Virgilio Gómez-Rubio   +2 more
doaj   +1 more source

Bayesian Spatial Modeling of Landslide Events Using Integrated Nested Laplace Approximation (INLA): A Study Case on Natural Conditions and Community Actions in East Java, Indonesia

open access: yesInternational Journal of Hydrological and Environmental for Sustainability, 2023
Bayesian Spatial Modeling Using Integrated Nested Laplace Approximation (INLA) is an advanced statistical technique that can be used to model and analyze occurrences in geographic areas. Landslides are one of natural disasters that occur due to natural and human factors and pose a serious threat to East Java Province which has complex natural ...
Salman Alfarisi   +5 more
openaire   +1 more source

Bayesian Model Averaging with the Integrated Nested Laplace Approximation

open access: yesEconometrics, 2020
The integrated nested Laplace approximation (INLA) for Bayesian inference is an efficient approach to estimate the posterior marginal distributions of the parameters and latent effects of Bayesian hierarchical models that can be expressed as latent ...
Virgilio Gómez-Rubio   +2 more
doaj   +1 more source

A toolbox for fitting complex spatial point process models using integrated nested Laplace approximation (INLA) [PDF]

open access: yesThe Annals of Applied Statistics, 2012
Published in at http://dx.doi.org/10.1214/11-AOAS530 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Illian, Janine B.   +2 more
openaire   +6 more sources

Two-level resolution of relative risk of dengue disease in a hyperendemic city of Colombia. [PDF]

open access: yesPLoS ONE, 2018
Risk maps of dengue disease offer to the public health officers a tool to model disease risk in space and time. We analyzed the geographical distribution of relative incidence risk of dengue disease in a high incidence city from Colombia, and its ...
Aritz Adin   +3 more
doaj   +1 more source

Comparing Bayesian Spatial Conditional Overdispersion and the Besag–York–Mollié Models: Application to Infant Mortality Rates

open access: yesMathematics, 2021
In this paper, we review overdispersed Bayesian generalized spatial conditional count data models. Their usefulness is illustrated with their application to infant mortality rates from Colombian regions and by comparing them with the widely used Besag ...
Mabel Morales-Otero   +1 more
doaj   +1 more source

Spatial Data Analysis with R-INLA with Some Extensions

open access: yesJournal 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

Past, present, and future trends of overweight and obesity in Belgium using Bayesian age-period-cohort models

open access: yesBMC Public Health, 2022
Background Overweight and obesity are one of the most significant risk factors of the twenty-first century related to an increased risk in the occurrence of non-communicable diseases and associated increased healthcare costs.
Robby De Pauw   +5 more
doaj   +1 more source

Home - About - Disclaimer - Privacy