Estimating Spatial Econometrics Models with Integrated Nested Laplace Approximation
Mathematics, 2021 The integrated nested Laplace approximation (INLA) provides a fast and effective method for marginal inference in Bayesian hierarchical models. This methodology has been implemented in the R-INLA package which permits INLA to be used from within R ...
Virgilio Gómez-Rubio +2 more
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Research on the Genetic Polymorphism and Function of inlA with Premature Stop Codons in Listeria monocytogenes [PDF]
FoodsListeria monocytogenes is a Gram-positive bacterial species that causes listeriosis, a major foodborne disease worldwide. The virulence factor inlA facilitates the invasion of L.
Xin Liu +8 more
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Bayesian computing with INLA: New features [PDF]
Computational Statistics and Data Analysis, 2013 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. In this paper we formalize new developments in the R-INLA package and show how these features greatly extend the scope of models ...
Daniel Simpson +2 more
exaly +5 more sources
Spatio‐temporal occupancy models with INLA
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
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Bayesian Spatial Modelling with R-INLA [PDF]
Journal of Statistical Software, 2015 The principles behind the interface to continuous domain spatial models in the R- INLA software package for R are described. The integrated nested Laplace approximation (INLA) approach proposed by Rue, Martino, and Chopin (2009) is a computationally ...
Finn Lindgren, Håvard Rue
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Bayesian Computing with INLA: A Review [PDF]
Annual Review of Statistics and Its Application, 2017 The key operation in Bayesian inference is to compute high-dimensional integrals. An old approximate technique is the Laplace method or approximation, which dates back to Pierre-Simon Laplace (1774). This simple idea approximates the integrand with a second-order Taylor expansion around the mode and computes the integral analytically.
Håvard Rue +2 more
exaly +5 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
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Single-Tube Loop-Mediated Isothermal Amplification Assay Targeting the inlA Gene for Sensitive Detection of Listeria monocytogenes in Food [PDF]
Food Technology and BiotechnologyResearch background. Several loop-mediated isothermal amplification (LAMP) assays with good performance characteristics have been developed for the detection of Listeria monocytogenes in food; however, there are only a few cases in which DNA extraction ...
Anna Maraz +3 more
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Bayesian survival analysis with INLA
Statistics in MedicineThis tutorial shows how various Bayesian survival models can be fitted using the integrated nested Laplace approximation in a clear, legible, and comprehensible manner using the INLA and INLAjoint R‐packages. Such models include accelerated failure time, proportional hazards, mixture cure, competing risks, multi‐state, frailty, and joint models of ...
Danilo Alvares +2 more
exaly +6 more sources
Exploratory Genomic Marker Analysis of Virulence Patterns in Listeria monocytogenes Human and Food Isolates [PDF]
FoodsListeria monocytogenes causes listeriosis, a severe foodborne disease with high mortality. Contamination with it poses significant risks to food safety and public health.
Valeria Russini +14 more
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