InlA promotes dissemination of Listeria monocytogenes to the mesenteric lymph nodes during food borne infection of mice. [PDF]
PLoS Pathogens, 2012 Intestinal Listeria monocytogenes infection is not efficient in mice and this has been attributed to a low affinity interaction between the bacterial surface protein InlA and E-cadherin on murine intestinal epithelial cells. Previous studies using either
Elsa N Bou Ghanem +5 more
doaj +2 more sources
A primer on disease mapping and ecological regression using $${\texttt{INLA}}$$ [PDF]
Computational Statistics, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Birgit Schrödle, Leonhard Held
openaire +5 more sources
Spatio-temporal disease mapping using INLA
Environmetrics, 2010 Spatio-temporal disease mapping models are a popular tool to describe the pattern of disease counts. They are usually formulated in a hierarchical Bayesian framework with latent Gaussian model. So far, computationally expensive Markov chain Monte Carlo algorithms have been used for parameter estimation which might induce a large Monte Carlo error.
Schrödle, B, Held, L
core +3 more sources
An efficient PG-INLA algorithm for the Bayesian inference of logistic item response models
Statistical Theory and Related FieldsIn this paper, we propose a Bayesian PG-INLA algorithm which is tailored to both one-dimensional and multidimensional 2-PL IRT models. The proposed PG-INLA algorithm utilizes a computationally efficient data augmentation strategy via the Pólya-Gamma ...
Xiaofan Lin, Yincai Tang
doaj +2 more sources
Computationally efficient Bayesian inference for semi-parametric joint models of competing risks survival and skewed longitudinal data using integrated nested Laplace approximation [PDF]
BMC Medical Research MethodologyBackground Joint modeling is widely used in medical research to properly analyze longitudinal biomarkers and survival outcomes simultaneously and to guide appropriate interventions in public health.
Melkamu Molla Ferede +2 more
doaj +2 more sources
Where Is the Clean Air? A Bayesian Decision Framework for Personalised Cyclist Route Selection Using R-INLA [PDF]
, 2020 Exposure to air pollution in the form of fine particulate matter (PM2.5) is known to cause diseases and cancers. Consequently, the public are increasingly seeking health warnings associated with levels of PM2.5 using mobile phone applications and ...
G Shaddick (21866612) +5 more
core +6 more sources
Spatial modeling with R‐INLA: A review [PDF]
WIREs Computational Statistics, 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
openaire +3 more sources
Using INLA to fit a complex point process model with temporally varying effects – a case study [PDF]
, 2012 Integrated nested Laplace approximation (INLA) provides a fast and yet quite exact approach to fitting complex latent Gaussian models which comprise many statistical models in a Bayesian context, including log Gaussian Cox processes. This paper discusses
Soerbye, S +3 more
core +2 more sources
Multivariate spatial prediction of air pollutant concentrations with INLA [PDF]
Environmental Research Communications, 2021 Estimates of daily air pollution concentrations with complete spatial and temporal coverage are important for supporting epidemiologic studies and health impact assessments. While numerous approaches have been developed for modeling air pollution, they typically only consider each pollutant separately.
Wenlong Gong +2 more
openaire +2 more sources
Spatial field reconstruction with INLA
Astronomy & Astrophysics, 2023 Aims. Monte Carlo radiative transfer (MCRT) simulations are a powerful tool for understanding the role of dust in astrophysical systems and its influence on observations. However, due to the strong coupling of the radiation field and medium across the whole computational domain, the problem is non-local and non-linear, and such simulations are ...
Smole, Majda +3 more
openaire +2 more sources