Spatial Bayesian Hierarchical Modelling with Integrated Nested Laplace Approximation
, 2020 We consider latent Gaussian fields for modelling spatial dependence in the context of both spatial point patterns and areal data, providing two different applications. The inhomogeneous Log-Gaussian Cox Process model is specified to describe a seismic sequence occurred in Greece, resorting to the Stochastic Partial Differential Equations.
D'Angelo N, Abbruzzo A, Adelfio G.
europepmc +3 more sources
Bayesian spatio-temporal modeling of COVID-19 incidence in Algerian provinces using integrated nested Laplace approximations. [PDF]
Sci RepThe COVID-19 pandemic in Algeria dissplayed significant spatial and temporal heterogeneity, especially during the severe summer 2021 wave driven by the Delta variant.
Asri A.
europepmc +2 more sources
Correction to: ‘Simplified integrated nested Laplace approximation’
BiometrikazbMATH Open Web Interface contents unavailable due to conflicting licenses.
semanticscholar +3 more sources
Bayesian spatio-temporal modeling for policy evaluation: Sensitivity of policy effect estimates in the context of COVID-19 stay-at-home orders. [PDF]
PLoS ONEThis study applies a Bayesian spatio-temporal model to demonstrate the sensitivity of policy effect estimates to spatial and temporal structure, using COVID-19 stay-at-home orders as a case study.
Pyung Kim +3 more
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Validating a Bayesian Spatio-Temporal Model to Predict La Crosse Virus Human Incidence in the Appalachian Mountain Region, USA [PDF]
MicroorganismsLa Crosse virus (LACV) is a rare cause of pediatric encephalitis, yet identifying and mitigating transmission foci is critical to detecting additional cases.
Maggie McCarter +6 more
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An Approximate Bayesian Inference for Beta Regression Models [PDF]
Journal of Sciences, Islamic Republic of Iran, 2022 In modeling the variables related to each other, regression models are usually used assuming that the response variable is Normal. But in problems dealing with data such as the rate or ratio of an event distributed in the (0,1) interval, these models may
kobra Gholizadeh Gazvar +1 more
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Animal Models and Integrated Nested Laplace Approximations [PDF]
G3 Genes|Genomes|Genetics, 2013 AbstractAnimal models are generalized linear mixed models used in evolutionary biology and animal breeding to identify the genetic part of traits. Integrated Nested Laplace Approximation (INLA) is a methodology for making fast, nonsampling-based Bayesian inference for hierarchical Gaussian Markov models.
Holand, Anna Marie +3 more
openaire +3 more sources
Determining factors associated with cholera disease in Ethiopia using Bayesian hierarchical modeling
BMC Public Health, 2022 Background Cholera is a diarrheal disease caused by infection of the intestine with the gram-negative bacteria Vibrio cholera. It is caused by the ingestion of food or water and infected all age groups.
Tsigereda Tilahun Letta +2 more
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Laplace approximation for conditional autoregressive models for spatial data of diseases
MethodsX, 2022 Conditional autoregressive (CAR) distributions are used to account for spatial autocorrelation in small areal or lattice data to assess the spatial risks of diseases.
Guiming Wang
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Spatial modelling of agro-ecologically significant grassland species using the INLA-SPDE approach
Scientific 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
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