Results 21 to 30 of about 3,308,371 (168)

Parallelized integrated nested Laplace approximations for fast Bayesian inference [PDF]

, 2023
There is a growing demand for performing larger-scale Bayesian inference tasks, arising from greater data availability and higher-dimensional model parameter spaces.
Niekerk, Janet van, Gaedke-Merzh¨auser, Lisa, Schenk, Olaf, Rue, H˚avard   +3 more
core   +1 more source

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, Illian, Janine Baerbel, Sørbye, Sigrunn Holbek, Illian, Janine Barbel, Rue, Håvard, Hendrichsen, D, Rue, H, Hendrichsen, Ditte Katrine   +7 more
core   +2 more sources

Fitting complex ecological point process models with integrated nested Laplace approximation [PDF]

, 2013
Summary 1. We highlight an emerging statistical method, integrated nested Laplace approximation (INLA), which is ideally suited for fitting complex models to many of the rich spatial data sets that ecologists wish to analyse. 2.
Gallego-Fernández, Juan B., Travis, Justin M. J., Illian, Janine Baerbel, Esquivias, M. Paz, Martino, Sara, Zunzunegui, Maria, Illian, Janine B., Warton, David, Sørbye, Sigrunn H., Travis, Justin M.   +9 more
core   +1 more source

Two-level resolution of relative risk of dengue disease in a hyperendemic city of Colombia. [PDF]

PLoS ONE, 2018
Risk maps of dengue disease offer to the public health officers a tool to model disease risk in space and time. We analyzed the geographical distribution of relative incidence risk of dengue disease in a high incidence city from Colombia, and its ...
Aritz Adin, Daniel Adyro Martínez-Bello, Antonio López-Quílez, María Dolores Ugarte   +3 more
doaj   +1 more source

Spatial Data Analysis with R-INLA with Some Extensions

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   +1 more source

Comparing Bayesian Spatial Conditional Overdispersion and the Besag–York–Mollié Models: Application to Infant Mortality Rates

Mathematics, 2021
In this paper, we review overdispersed Bayesian generalized spatial conditional count data models. Their usefulness is illustrated with their application to infant mortality rates from Colombian regions and by comparing them with the widely used Besag ...
Mabel Morales-Otero, Vicente Núñez-Antón   +1 more
doaj   +1 more source

Past, present, and future trends of overweight and obesity in Belgium using Bayesian age-period-cohort models

BMC Public Health, 2022
Background Overweight and obesity are one of the most significant risk factors of the twenty-first century related to an increased risk in the occurrence of non-communicable diseases and associated increased healthcare costs.
Robby De Pauw, Manu Claessens, Vanessa Gorasso, Sabine Drieskens, Christel Faes, Brecht Devleesschauwer   +5 more
doaj   +1 more source

Importance Sampling with the Integrated Nested Laplace Approximation

, 2022
The integrated nested Laplace approximation (INLA) is a deterministic approach to Bayesian inference on latent Gaussian models (LGMs) and focuses on fast and accurate approximation of posterior marginals for the parameters in the models.
Sara Martino (12456104), Håvard Rue (4783083), Martin Outzen Berild (12456101), Virgilio Gómez-Rubio (4395598)   +3 more
core   +1 more source

Bayesian Spatial Modelling with R-INLA

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   +1 more source

Integrated Nested Laplace Approximations (INLA)

, 2019
This is a short description and basic introduction to the Integrated nested Laplace approximations (INLA) approach. INLA is a deterministic paradigm for Bayesian inference in latent Gaussian models (LGMs) introduced in Rue et al. (2009). INLA relies on a combination of analytical approximations and efficient numerical integration schemes to achieve ...
Martino, Sara, Riebler, Andrea
openaire   +2 more sources