Search Results - "Håvard, Rue"

Bayesian Spatial Modelling with R - INLA by Lindgren, Finn, Rue, Håvard

“…The principles behind the interface to continuous domain spatial models in the R- INLA software package for R are described. The integrated nested Laplace…”
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Constructing Priors that Penalize the Complexity of Gaussian Random Fields by Fuglstad, Geir-Arne, Simpson, Daniel, Lindgren, Finn, Rue, Håvard

“…Priors are important for achieving proper posteriors with physically meaningful covariance structures for Gaussian random fields (GRFs) since the likelihood…”
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Spatial Data Analysis with R - INLA with Some Extensions by Bivand, Roger S., Gómez-Rubio, Virgilio, Rue, Håvard

“…The integrated nested Laplace approximation (INLA) provides an interesting way of approximating the posterior marginals of a wide range of Bayesian…”
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Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations by Rue, Håvard, Martino, Sara, Chopin, Nicolas

“…Structured additive regression models are perhaps the most commonly used class of models in statistical applications. It includes, among others, (generalized)…”
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New Frontiers in Bayesian Modeling Using the INLA Package in R by van Niekerk, Janet, Bakka, Haakon, Rue, Håvard, Schenk, Olaf

“…The INLA package provides a tool for computationally efficient Bayesian modeling and inference for various widely used models, more formally the class of…”
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Bayesian computing with INLA: New features by Martins, Thiago G., Simpson, Daniel, Lindgren, Finn, Rue, Håvard

“…The INLA approach for approximate Bayesian inference for latent Gaussian models has been shown to give fast and accurate estimates of posterior marginals and…”
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Spatial and spatio-temporal models with R-INLA by Blangiardo, Marta, Cameletti, Michela, Baio, Gianluca, Rue, Håvard

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Markov chain Monte Carlo with the Integrated Nested Laplace Approximation by Gómez-Rubio, Virgilio, Rue, Håvard

“…The Integrated Nested Laplace Approximation (INLA) has established itself as a widely used method for approximate inference on Bayesian hierarchical models…”
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Spatial and spatio-temporal models with R-INLA by Blangiardo, Marta, Cameletti, Michela, Baio, Gianluca, Rue, Håvard

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The SPDE approach for Gaussian and non-Gaussian fields: 10 years and still running by Lindgren, Finn, Bolin, David, Rue, Håvard

“…Gaussian processes and random fields have a long history, covering multiple approaches to representing spatial and spatio-temporal dependence structures, such…”
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Penalising Model Component Complexity: A Principled, Practical Approach to Constructing Priors by Simpson, Daniel, Rue, Håvard, Riebler, Andrea, Martins, Thiago G., Sørbye, Sigrunn H.

“…In this paper, we introduce a new concept for constructing prior distributions. We exploit the natural nested structure inherent to many model components,…”
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Spatio-temporal modeling of particulate matter concentration through the SPDE approach by Cameletti, Michela, Lindgren, Finn, Simpson, Daniel, Rue, Håvard

“…In this work, we consider a hierarchical spatio-temporal model for particulate matter (PM) concentration in the North-Italian region Piemonte. The model…”
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Estimating Tukey depth using incremental quantile estimators by Hammer, Hugo L., Yazidi, Anis, Rue, Håvard

“…•An approach based in incremental quantile estimators to estimate and track Tukey depth contours is presented.•The approach is highly memory and…”
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Bayesian bivariate meta‐analysis of diagnostic test studies with interpretable priors by Guo, Jingyi, Riebler, Andrea, Rue, Håvard

“…In a bivariate meta‐analysis, the number of diagnostic studies involved is often very low so that frequentist methods may result in problems. Using Bayesian…”
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Variance partitioning in spatio-temporal disease mapping models by Franco-Villoria, Maria, Ventrucci, Massimo, Rue, Håvard

“…Bayesian disease mapping, yet if undeniably useful to describe variation in risk over time and space, comes with the hurdle of prior elicitation on…”
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A new avenue for Bayesian inference with INLA by Van Niekerk, Janet, Krainski, Elias, Rustand, Denis, Rue, Håvard

“…Integrated Nested Laplace Approximations (INLA) has been a successful approximate Bayesian inference framework since its proposal by Rue et al. (2009). The…”
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Joint tracking of multiple quantiles through conditional quantiles by Hammer, Hugo Lewi, Yazidi, Anis, Rue, Håvard

“…The estimation of quantiles is one of the most fundamental data mining tasks. As most real-time data streams vary dynamically over time, there is a quest for…”
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Spatio‐temporal occupancy models with INLA by Belmont, Jafet, Martino, Sara, Illian, Janine, Rue, Håvard

“…Modern methods for quantifying, predicting and mapping species distributions have played a crucial part in biodiversity conservation. Occupancy models have…”
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Non-stationary Bayesian spatial model for disease mapping based on sub-regions by Abdul-Fattah, Esmail, Krainski, Elias, Van Niekerk, Janet, Rue, Håvard

“…This paper aims to extend the Besag model, a widely used Bayesian spatial model in disease mapping, to a non-stationary spatial model for irregular…”
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INLA goes extreme: Bayesian tail regression for the estimation of high spatio-temporal quantiles by Opitz, Thomas, Huser, Raphaël, Bakka, Haakon, Rue, Håvard

“…This work is motivated by the challenge organized for the 10th International Conference on Extreme-Value Analysis (EVA2017) to predict daily precipitation…”
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