Spatial and spatio-temporal models with R-INLA
Reads0
Chats0
TLDR
The Integrated Nested Laplace Approximation approach has been developed as a computationally efficient alternative to MCMC and the availability of an R package (R-INLA) allows researchers to easily apply this method.About:
This article is published in Spatial and Spatio-temporal Epidemiology.The article was published on 2013-03-01 and is currently open access. It has received 396 citations till now. The article focuses on the topics: Markov chain Monte Carlo.read more
Citations
More filters
Journal ArticleDOI
Improving urban trash reduction tracking with spatially distributed Bayesian uncertainty estimates
TL;DR: A novel method is presented to increase the utility of visual trash assessments by quantifying their degree of certainty at a granular spatial scale via Bayesian credibility intervals, and provides a practical alternative for cities to determine compliance with stormwater trash regulations.
Journal ArticleDOI
A spatial error model with continuous random effects and an application to growth convergence
TL;DR: A spatial error model with continuous random effects based on Matérn covariance functions is proposed and applied to analyze the economic growth of Brazilian municipalities between 1991 and 2010 using unconditional and conditional formulations and a spatiotemporal model of convergence.
Journal ArticleDOI
Long-term exposure to air pollution and COVID-19 incidence: A multi-country study
TL;DR: In this paper, the authors conducted a multi-country analysis using a spatial ecological design, including Canada, Italy, England and the United States, and concluded that the effects of PM2.5 and NO2 are inconsistent across countries.
Journal ArticleDOI
Bayesian spatiotemporal modelling analysis of hemorrhagic fever with renal syndrome outbreaks in China using R‐INLA
TL;DR: It is recommended that the relevant managers call for active vaccination of outdoor workers, such as those working in agriculture and construction sites, implement rat prevention and extermination before winter arrives, and warn high-risk and medium-high-risk areas to conduct early outbreak surveillance.
Journal ArticleDOI
Temperature and assault in an urban environment: An empirical study in the city of Seoul, South Korea
TL;DR: In this article, the association between temperature and assaults in the city of Seoul, South Korea was investigated using Bayesian Poisson models with a set of spatial and temporal effects and estimated with the integrated nested Laplace approximation (INLA).
References
More filters
Journal ArticleDOI
Bayesian measures of model complexity and fit
TL;DR: In this paper, the authors consider the problem of comparing complex hierarchical models in which the number of parameters is not clearly defined and derive a measure pD for the effective number in a model as the difference between the posterior mean of the deviances and the deviance at the posterior means of the parameters of interest, which is related to other information criteria and has an approximate decision theoretic justification.
Book
Statistics for spatial data
Noel A Cressie,Noel A Cressie +1 more
TL;DR: In this paper, the authors present a survey of statistics for spatial data in the field of geostatistics, including spatial point patterns and point patterns modeling objects, using Lattice Data and spatial models on lattices.
Book
Monte Carlo Statistical Methods
TL;DR: This new edition contains five completely new chapters covering new developments and has sold 4300 copies worldwide of the first edition (1999).
Journal ArticleDOI
5. Statistics for Spatial Data
Mike Rees,N. Cressie +1 more
TL;DR: Cressie et al. as discussed by the authors presented the Statistics for Spatial Data (SDS) for the first time in 1991, and used it for the purpose of statistical analysis of spatial data.