Bayesian computing with INLA: New features. Comput. Stat. Data Anal. 2013, 67, 68-83. [CrossRef]Martins, T. G., Simpson, D., Lindgren, F. and Rue, H. (2013). Bayesian computing with INLA: New features. Computational Statistics & Data Analysis 67 68-83....
Rue, H., Riebler, A., Sørbye, S.H., Illian, J.B., Simpson, D.P., Lindgren, F.K.: Bayesian computing with INLA: a review. Annual Rev. Stat. Appl. 4, 395–421 (2017) Google Scholar Simpson, D., Rue, H., Riebler, A., Martins, T.G., Sørbye, S.H.: Penalising...
Bayesian computing with INLA: A review. Annual Review of Statistics and Its Application 4: 395–421. [Google Scholar] [CrossRef] [Green Version] Venables, William N., and Brian D. Ripley. 2002. Modern Applied Statistics with S, 4th ed. New York: Springer, ISBN 0-387-95457-0. [Google...
Bayesian computing with INLA: A review. Annu. Rev. Stat. Appl. 2017, 4, 395–421. [Google Scholar] [CrossRef] [Green Version] Bürkner, P.C. brms: An R package for Bayesian multilevel models using Stan. J. Stat. Softw. 2017, 80, 1–28. [Google Scholar] [CrossRef] [Green ...
Julia: a fast dynamic language for technical computing. Preprint at https://arxiv.org/abs/1209.5145 (2012). Ge, H., Xu, K. & Ghahramani, Z. Turing: a language for flexible probabilistic inference. Proceedings of Machine Learning Research 84, 1682–1690 (2018). Google Scholar Smith, B....
(https://geoportal.statistics.gov.uk/) provided by the UK government. The median geographical size of an MSOA in England is 3.04km2, and as of the end of June 2020, the population size in a single MSOA ranges between 4,843 and 27,911 persons, with a median population size of 8,123...
Improvements in statistical software and affordable computing power have led to wide use of spatiotemporal modeling. Because mosquito vector surveillance relies on repeated sampling from traps spread across a study area, the results are inherently correlated across space and time. Studies have demonstrated...
Bayesian computingBayesian modellingINLAlatent Gaussian modelsmodel criticismBayesian hierarchical models are increasingly popular for realistic modellingand analysis of complex data. This trend is accompanied by the need forflexible, general, and computationally efficient methods for model criticismand conflict ...
Bayesian models using the MCMC method have been commonly used in traffic safety analyses because of their ability to deal with complex models. Recently, the INLA approach has appeared as an alternative to the MCMC method by significantly reducing the computing time. In this study, an INLA-CAR ...
The main computing options (BUGS, JAGS, R-INLA), and their interfaces with the R package are set out. Alternative MCMC techniques and proposal mechanisms are demonstrated with examples and code in R.Peter CongdonCentre for Statistics and Department of Geography, Queen Mary, University of London,...