Results 11 to 20 of about 7,584 (197)

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

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

Bayesian Inference for multivariate spatial models with INLA [PDF]

The R Journal, 2023
Bayesian methods and software for spatial data analysis are well-established now in the broader scientific community generally, and in the spatial data analysis community specifically.
Cameletti, Michela, Rue, Håvard, Gómez Rubio, Virgilio, Bivand, Roger S., Palmí Perales, Francisco   +4 more
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Spatial Data Analysis with R-INLA with Some Extensions [PDF]

Journal of Statistical Software, 2015
The integrated nested Laplace approximation (INLA) provides an interesting way of approximating the posterior marginals of a wide range of Bayesian hierarchical models.
Roger Bivand, Virgilio Gómez-Rubio, Håvard Rue   +2 more
doaj   +2 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 ...
Bolin, David, Haakon Bakka, Håvard Rue, Finn Lindgren, Simpson, Daniel,, Rue, H\ue5vard, Illian, Janine B., Daniel Simpson, Riebler, A., Lindgren, Finn,, Simpson, D., Riebler, Andrea, Krainski, Elias,, Riebler, Andrea,, Krainski, Elias, Rue, Håvard,, Fuglstad, Geir Arne,, Elias Krainski, David Bolin, Bakka, Haakon,, Illian, J., Simpson, Daniel, Illian, Janine, Lindgren, Finn; id_orcid, Krainski, E., Illian, Janine B.,, Rue, Håvard, Janine Illian, Lindgren, F., Riebler, Andrea Ingeborg, Fuglstad, G. A., Fuglstad, Geir-arne, Geir‐Arne Fuglstad, Bakka, Haakon, Fuglstad, Geir Arne, Andrea Riebler, Bolin, David,, Rue, H., Lindgren, Finn, Krainski, Elias Teixeira   +39 more
core   +5 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
Baio, Gianluca, Baio, G, CAMELETTI, Michela (ORCID:0000-0002-6502-7779), Blangiardo, M, Blangiardo, Marta, Cameletti, M, Rue, Håvard, Rue, H   +7 more
core   +8 more sources

Bayesian Computing with INLA: A Review [PDF]

Annual Review of Statistics and Its Application, 2016
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).
Simpson, Daniel P., Riebler, Andrea, Sørbye, Sigrunn Holbek, Lindgren, Finn Kristian, Simpson, Daniel Peter, Illian, Janine, Lindgren, Finn; id_orcid, Lindgren, Finn K., Illian, Janine B., Rue, Håvard, Sørbye, Sigrunn H., Riebler, Andrea Ingeborg   +11 more
core   +5 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 ...
Martin Modrák
core   +2 more sources

An efficient PG-INLA algorithm for the Bayesian inference of logistic item response models

Statistical Theory and Related Fields
In 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