Results 11 to 20 of about 7,865 (191)

Spatio‐temporal occupancy models with INLA [PDF]

Methods in Ecology and Evolution
Modern 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, Sara Martino, Janine Illian, Håvard Rue   +3 more
doaj   +9 more sources

Unveiling the Mutations and Conservation of InlA in Listeria monocytogenes

Microorganisms
Listeria monocytogenes (L. monocytogenes) is a pathogen that is transmitted through contaminated food and causes the illness known as listeriosis. The virulence factor InlA plays a crucial role in the invasion of L.
Lingling Li, Yan Wang, Ji Pu, Jinni Chen, Lingyun Liu, Pan Mao, Hui Sun, Xia Luo, Changyun Ye   +8 more
doaj   +4 more sources

Research on the Genetic Polymorphism and Function of inlA with Premature Stop Codons in Listeria monocytogenes [PDF]

Foods
Listeria 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, Binru Gao, Zhuosi Li, Yingying Liang, Tianqi Shi, Qingli Dong, Min Chen, Huanyu Wu, Hongzhi Zhang   +8 more
doaj   +3 more sources

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
doaj   +8 more sources

Seabird Prey in Space and Time: Combining Multiple Datasets to Model the Distribution of Sandeel (Ammodytes marinus) and Sprat (Sprattus sprattus) in the North Sea [PDF]

Ecology and Evolution, Volume 16, Issue 11, November 2026.
Forage fish are key prey and commercial species in the North Sea ecosystem, but estimates of their biomass over detailed spatial and temporal scales is currently limited. To fill this vital research gap we employ Hierarchical Bayesian spatiotemporal models of sandeel (Ammodytes marinus) and sprat (Sprattus sprattus) in the North Sea, providing fine ...
Sylvan Benaksas, Christopher Lynam, Francis Daunt, Chibuzor Christopher Nnanatu, Jeroen van der Kooij, Thomas J. Webb   +5 more
wiley   +2 more sources

Bayesian Inference for Multivariate Spatial Models with INLA [PDF]

The R Journal, 2023
Bayesian methods and software for spatial data analysis are generally now well established in the scientific community. Despite the wide application of spatial models, the analysis of multivariate spatial data using R-INLA has not been widely described in the existing literature.
Francisco Palmí-Perales, Virgilio Gómez-Rubio, Roger S. Bivand, Michela Cameletti, Håvard Rue   +4 more
openaire   +5 more sources

Molecular Characterisation and Antimicrobial Resistance Patterns of Listeria monocytogenes From Dairy Sources [PDF]

Veterinary Medicine and Science, Volume 12, Issue 6, November 2026.
This study presents a comprehensive surveillance of L. monocytogenes along the dairy supply chain, from raw milk collection to final products and environmental sources. The methodological framework encompasses conventional microbiological isolation and identification, followed by phenotypic antimicrobial susceptibility testing and calculation of the ...
Mohammad Reza Heidari, Amir Shakerian, Reza Sharafati Chaleshtori, Ebrahim Rahimi   +3 more
wiley   +2 more sources

Spatial and spatio-temporal models with R-INLA [PDF]

Spatial and Spatio-temporal Epidemiology, 2013
During the last three decades, Bayesian methods have developed greatly in the field of epidemiology. Their main challenge focusses around computation, but the advent of Markov Chain Monte Carlo methods (MCMC) and in particular of the WinBUGS software has opened the doors of Bayesian modelling to the wide research community. However model complexity and
Blangiardo, Marta, CAMELETTI, Michela, Baio, Gianluca, Rue, Håvard   +3 more
core   +8 more sources

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.
Rue, Håvard, Riebler, Andrea, Sørbye, Sigrunn H., Illian, Janine, Simpson, Daniel P., Lindgren, Finn; id_orcid 0000-0002-5833-2011   +5 more
core   +7 more sources

A Gentle Stan vs. INLA Comparison

, 2018
Not long ago, I came across a nice blogpost by Kahtryn Morrison called A gentle INLA tutorial. The blog was nice and helped me better appreciate INLA. But as a fan of the Stan probabilistic language, I felt that comparing INLA to JAGS is not really that relevant, as Stan should - at least in theory - be way faster and better than JAGS.
Martin Modrák
openaire   +2 more sources