Bayesian Inference for Spatial-Temporal Non-Gaussian Data Using Predictive Stacking. [PDF]
Pan S, Zhang L, Bradley JR, Banerjee S.
europepmc +1 more source
Genomic and phenotypic characterisation of Listeria monocytogenes strains isolated from pig feces on farm and from pork meat at retail in France. [PDF]
Boscher E +6 more
europepmc +1 more source
Nondestructive individual tree aboveground biomass estimation using a hierarchical Bayesian approach in combination with individual tree competition indices. [PDF]
Zhang Z +5 more
europepmc +1 more source
The evolution of public health statistical modeling approaches and how to advance their incorporation into modern arboviral surveillance. [PDF]
McCarter M +5 more
europepmc +1 more source
Neighborhood spikes in drug and alcohol overdoses and subsequent suicide: A serial cross-sectional study of California ZIP codes. [PDF]
Pear VA +4 more
europepmc +1 more source
Presence of <i>Listeria</i> spp., including pathogenic <i>Listeria monocytogenes</i> and <i>Listeria ivanovii</i>, on fresh vegetables in the markets of Abidjan (Côte d'Ivoire). [PDF]
Pekoula SF +5 more
europepmc +1 more source
Rapid global growth and intensification of dengue since 1990
Brady O +13 more
europepmc +1 more source
A new avenue for Bayesian inference with INLA
Integrated Nested Laplace Approximations (INLA) has been a successful approximate Bayesian inference framework since its proposal by Rue et al. (2009).
Denis Rustand +2 more
exaly +2 more sources
Bayesian computing with INLA: New features [PDF]
The INLA approach for approximate Bayesian inference for latent Gaussian models has been shown to give fast and accurate estimates of posterior marginals and also to be a valuable tool in practice via the R-package R-INLA.
Håvard Rue +2 more
exaly +2 more sources

