Distributed inference with INLA [PDF]
Distributed inference is often used to reduce computational costs and memory usage, but it is also essential in cases where processing all the data jointly is not feasible.
Figueira, Mario
core
inlamemi: An R package for missing data imputation and measurement error modelling using INLA [PDF]
Measurement error and missing data in variables used in statistical models are common, and can at worst lead to serious biases in analyses if they are ignored.
Muff, Stefanie, Skarstein, Emma
core +1 more source
Application of integrated nested Laplace approximation to identify hot spots of methylation heterogeneity in healthy individuals from the MAMELI cohort. [PDF]
Nardi T +7 more
europepmc +1 more source
Synergistic Roles of InlA, InlB and LLO in the Infection of Trigeminal Ganglion Neurons by Ovine-Derived <i>Listeria monocytogenes</i> LM90SB2. [PDF]
Lv Y +6 more
europepmc +1 more source
Large-scale phenotyping and comparative genomics reveal genetic features of Listeria persistence in epithelial cells. [PDF]
Lotoux A +13 more
europepmc +1 more source
Clindamycin susceptibility and virulence characterization of <i>Listeria monocytogenes</i> strains isolated from meat and meat-processing environments. [PDF]
Pérez-Baltar A +6 more
europepmc +1 more source
KGR-SKATER: Spatially clustered kernel graph regression for counting processes. [PDF]
Wu J, Peters GW, Franks A.
europepmc +1 more source
Hierarchical Bayes models have been used in disease mapping to examine small scale geographic variation. State level geographic variation for less common causes of mortality outcomes have been reported however county level variation is rarely examined. Due to concerns about statistical reliability and confidentiality, county-level mortality rates based
Diba, Khana +3 more
openaire +1 more source
Bayesian design and analysis of two-arm cluster randomised trials using assurance: Extension to binary outcomes and comparison of Markov chain Monte Carlo and Integrated Nested Laplace Approximations. [PDF]
Aloufi A +4 more
europepmc +1 more source
Inference for Stationary Log-Gaussian Cox Point Processes using Bayesian Deep Learning: Application to Human Oral Microbiome Image Data. [PDF]
Wang S +5 more
europepmc +1 more source

