Spatial and Spatio‐temporal Bayesian Models with R‐INLA

From MaRDI portal
Publication:5251248

DOI10.1002/9781118950203zbMath1318.62001OpenAlexW588132920MaRDI QIDQ5251248

Michela Cameletti, Marta Blangiardo

Publication date: 19 May 2015

Full work available at URL: https://doi.org/10.1002/9781118950203



Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).


Related Items (25)

Spatio-temporal hierarchical Bayesian analysis of wildfires with Stochastic Partial Differential Equations. A case study from Valencian Community (Spain)Performance of the supervised generative classifiers of spatio-temporal areal data using various spatial autocorrelation indexesA novel method of marginalisation using low discrepancy sequences for integrated nested Laplace approximationsA Bayesian Spatial Analysis of the Heterogeneity in Human Mobility Changes During the First Wave of the COVID-19 Epidemic in the United StatesGeostatistical patterns of comorbidity of diarrhea, acute respiratory infection, and stunting among under-five children in NigeriaEnhancing the SPDE modeling of spatial point processes with INLA, applied to wildfires. Choosing the best mesh for each databaseAnalysis of Prescription Drug Utilization with Beta Regression ModelsA TMB approach to study spatial variation in weather-generated claims in insuranceSpatio-temporal modeling of traffic accidents incidence on urban road networks based on an explicit network triangulationA Statistical Review of Template Model Builder: A Flexible Tool for Spatial ModellingThe integrated nested Laplace approximation applied to spatial log-Gaussian Cox process modelsUnnamed ItemThe Integrated Nested Laplace Approximation for Fitting Dirichlet Regression ModelsCoherent combination of probabilistic outputs for group decision making: an algebraic approachA unified view on Bayesian varying coefficient modelsBayesian P-splines and advanced computing in R for a changepoint analysis on spatio-temporal point processesIntuitive joint priors for variance parametersBayesian prediction of spatial data with non-ignorable missingnessA hierarchical multivariate spatio-temporal model for clustered climate data with annual cyclesSpatially multi-scale dynamic factor modeling via sparse estimationUnderstanding the stochastic partial differential equation approach to smoothingModeling obesity rate with spatial auto-correlation: a case studySpatio-temporal modelling of dengue fever patterns in peninsular Malaysia from 2015--2017Zero-inflated models for adjusting varying exposures: a cautionary note on the pitfalls of using offsetA spatial modeling framework for monitoring surveys with different sampling protocols with a case study for bird abundance in Mid-Scandinavia


Uses Software



This page was built for publication: Spatial and Spatio‐temporal Bayesian Models with R‐INLA