Results 11 to 20 of about 14,233,615 (186)
Spatio-temporal pattern and risk factors of HIV/AIDS prevalence in Zhejiang, China, from 2005 to 2022 using R-INLA [PDF]
One HealthBackground: The number of reported HIV/AIDS cases in the Zhejiang province, China, has increased drastically. However, spatial disparity and temporal trends in HIV/AIDS risk at the fine level remain unclear.
Yifan Tang +8 more
doaj +4 more sources
Estimating Animal Abundance with N-Mixture Models Using the R-INLA Package for R [PDF]
Journal of Statistical Software, 2020 Successful management of wildlife populations requires accurate estimates of abundance. Abundance estimates can be confounded by imperfect detection during wildlife surveys.
Timothy D. Meehan +2 more
doaj +3 more sources
Estimating ambient air pollutant levels in Suzhou through the SPDE approach with R-INLA
International Journal of Hygiene and Environmental Health, 2021 Spatio-temporal models of ambient air pollution can be used to predict pollutant levels across a geographical region. These predictions may then be used as estimates of exposure for individuals in analyses of the health effects of air pollution. Integrated nested Laplace approximations is a method for Bayesian inference, and a fast alternative to ...
Neil Wright +5 more
openaire +4 more sources
Spatial Data Analysis with R-INLA with Some Extensions [PDF]
Journal 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 +2 more sources
Joint posterior inference for latent Gaussian models with R-INLA [PDF]
Journal of Statistical Computation and Simulation, 2022 33 pages, 11 ...
Cristian Chiuchiolo +2 more
openaire +4 more sources
, 2021 The statistical methods used to analyze medical data are becoming increasingly complex. Novel statistical methods increasingly rely on simulation studies to assess their validity. Such assessments typically appear in statistical or computational journals, and the methodology is later introduced to the medical community through tutorials.
Khan, Kori, Luo, Hengrui, Xi, Wenna
openaire +3 more sources
Spatial modelling with R-INLA: A review
, 2018 Coming up with Bayesian models for spatial data is easy, but performing inference with them can be challenging. Writing fast inference code for a complex spatial model with realistically-sized datasets from scratch is time-consuming, and if changes are made to the model, there is little guarantee that the code performs well.
Bakka, Haakon +8 more
core +5 more sources
A Fast, Flexible Simulation Framework for Bayesian Adaptive Designs—The R Package BATSS [PDF]
Pharmaceutical Statistics, Volume 25, Issue 5, September/October 2026.ABSTRACT The use of Bayesian adaptive designs for randomised controlled trials has been hindered by the lack of software readily available to statisticians. We have developed a new software package (Bayesian Adaptive Trials Simulator Software—BATSS) for the statistical software R, which provides a flexible structure for the fast simulation of Bayesian ...
Dominique‐Laurent Couturier +4 more
wiley +2 more sources
Spatio‐temporal occupancy models with INLA [PDF]
Methods in Ecology and EvolutionModern methods for quantifying, predicting and mapping species distributions have played a crucial part in biodiversity conservation. Occupancy models have become a popular choice for analysing species occurrence data due to their ability to separate out
Jafet Belmont +3 more
doaj +6 more sources
Fast and accurate Bayesian model criticism and conflict diagnostics using R‐INLA [PDF]
Stat, 2017 Bayesian hierarchical models are increasingly popular for realistic modelling and analysis of complex data. This trend is accompanied by the need for flexible, general and computationally efficient methods for model criticism and conflict detection. Usually, a Bayesian hierarchical model incorporates a grouping of the individual data points, as, for ...
Ferkingstad, Egil +2 more
openaire +5 more sources