List of works - Håvard Rue

A Bayesian approach to estimate the biomass of anchovies off the coast of Perú.

scientific article published on 24 September 2014

A Bayesian spatiotemporal statistical analysis of out-of-hospital cardiac arrests

scientific article published on 03 February 2020

A note on intrinsic conditional autoregressive models for disconnected graphs

scientific article published on 23 May 2018

A novel method of marginalisation using low discrepancy sequences for integrated nested Laplace approximations

scientific article published in 2021

A skew Gaussian decomposable graphical model

A unified view on Bayesian varying coefficient models

scientific article

An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach ⬇️

scholarly article

An intuitive Bayesian spatial model for disease mapping that accounts for scaling

scientific article published on August 2016

Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations ⬇️

scientific article published on 10 December 2020

Assessing the Impact of a Movement Network on the Spatiotemporal Spread of Infectious Diseases ⬇️

scientific article published on December 16, 2011

Bayesian 2-D deconvolution: a model for diffuse ultrasound scattering.

scientific article published in January 2001

Bayesian Model Averaging with the Integrated Nested Laplace Approximation ⬇️

scientific article

Bayesian Spatial Modelling withR-INLA

scientific article published on 21 September 2015

Bayesian analysis of RNA sequencing data by estimating multiple shrinkage priors.

scientific article

Bayesian bivariate meta-analysis of diagnostic test studies using integrated nested Laplace approximations

scientific article published in May 2010

Bayesian bivariate meta-analysis of diagnostic test studies with interpretable priors.

scientific article published on 5 May 2017

Bayesian computing with INLA: New features

article published in 2013

Bayesian inference for generalized linear mixed models

scientific article

Bayesian object identification ⬇️

scientific article

Bayesian penalized spline models for the analysis of spatio-temporal count data

scientific article

Beyond the Valley of the Covariance Function ⬇️

Combined effects of hydrometeorological hazards and urbanisation on dengue risk in Brazil: a spatiotemporal modelling study

scientific article

Competing risks joint models using R-INLA

scientific article

Discrete versus continuous domain models for disease mapping

scientific article published on 11 December 2019

Discussion on “Spatial prediction in the presence of positional error”

Does non-stationary spatial data always require non-stationary random fields?

article by Geir-Arne Fuglstad et al published November 2015 in Spatial Statistics

Effects of mRNA amplification on gene expression ratios in cDNA experiments estimated by analysis of variance

scientific article

Estimating Animal Abundance with N-Mixture Models Using the R-INLA Package for R

Estimating multilevel regional variation in excess mortality of cancer patients using integrated nested Laplace approximation

article

Estimating stochastic volatility models using integrated nested Laplace approximations

Exploring a New Class of Non-stationary Spatial Gaussian Random Fields with Varying Local Anisotropy

article by Geir-Arne Fuglstad et al published 2014 in Statistica Sinica

Factors involved in health-related transitions after curative resection for pancreatic cancer. 10-Years experience: A multi state model ⬇️

scientific article published on September 29, 2012

Fast sampling of Gaussian Markov random fields ⬇️

scholarly article

Going off grid: computationally efficient inference for log-Gaussian Cox processes

Importance Sampling with the Integrated Nested Laplace Approximation

scientific article published in 2022

Improving Bayesian Local Spatial Models in Large Datasets

scientific article

In order to make spatial statistics computationally feasible, we need to forget about the covariance function

article published in 2011

Integrated nested Laplace approximations for threshold stochastic volatility models

scientific article published in 2021

Intuitive Joint Priors for Variance Parameters

Joint posterior inference for latent Gaussian models with R-INLA

scientific article published in 2022

Joint spatial analysis of gastrointestinal infectious diseases

scientific article published on October 2006

Joint tracking of multiple quantiles through conditional quantiles ⬇️

Log Gaussian Cox processes and spatially aggregated disease incidence data ⬇️

scientific article published on April 26, 2012

New Doppler-based imaging method in echocardiography with applications in blood/tissue segmentation

scientific article published on 6 May 2009

New echocardiographic imaging method based on the bandwidth of the ultrasound Doppler signal with applications in blood/tissue segmentation in the left ventricle

scientific article published on 8 May 2008

Non-stationary Gaussian models with physical barriers

article by Haakon Bakka et al published March 2019 in Spatial Statistics

On Block Updating in Markov Random Field Models for Disease Mapping ⬇️

scientific article

On the Second-Order Random Walk Model for Irregular Locations

article

Space-varying regression models: specifications and simulation

scientific article

Spatial Data Analysis withR-INLAwith Some Extensions

scientific article published on 21 September 2015

Spatial Models Using Laplace Approximation Methods

scientific article

Spatial and spatio-temporal models with R-INLA.

scientific article published on 02 January 2013

Spatial and spatio-temporal models with R-INLA.

scientific article published on December 2013

Spatio-temporal log-Gaussian Cox processes for modelling wildfire occurrence: the case of Catalonia, 1994–2008

scholarly article by Laura Serra et al published 11 October 2013 in Environmental and Ecological Statistics

Spatio-temporal modeling of particulate matter concentration through the SPDE approach

article

Statistical estimation of global surface temperature response to forcing under the assumption of temporal scaling

scientific article published in 2020

The SPDE approach for Gaussian and non-Gaussian fields: 10 years and still running ⬇️

scholarly article

The SPDE approach for Gaussian and non-Gaussian fields: 10 years and still running

scientific article published in 2022

Think continuous: Markovian Gaussian models in spatial statistics

Towards joint disease mapping

scientific article

Unemployment estimation: Spatial point referenced methods and models

scientific article

List of works by Håvard Rue

A Bayesian approach to estimate the biomass of anchovies off the coast of Perú.

A Bayesian spatiotemporal statistical analysis of out-of-hospital cardiac arrests

A note on intrinsic conditional autoregressive models for disconnected graphs

A novel method of marginalisation using low discrepancy sequences for integrated nested Laplace approximations

A skew Gaussian decomposable graphical model

A unified view on Bayesian varying coefficient models

An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach ⬇️

An intuitive Bayesian spatial model for disease mapping that accounts for scaling

Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations ⬇️

Assessing the Impact of a Movement Network on the Spatiotemporal Spread of Infectious Diseases ⬇️

Bayesian 2-D deconvolution: a model for diffuse ultrasound scattering.

Bayesian Model Averaging with the Integrated Nested Laplace Approximation ⬇️

Bayesian Spatial Modelling with<i>R</i>-<b>INLA</b>

Bayesian analysis of RNA sequencing data by estimating multiple shrinkage priors.

Bayesian bivariate meta-analysis of diagnostic test studies using integrated nested Laplace approximations

Bayesian bivariate meta-analysis of diagnostic test studies with interpretable priors.

Bayesian computing with INLA: New features

Bayesian inference for generalized linear mixed models

Bayesian object identification ⬇️

Bayesian penalized spline models for the analysis of spatio-temporal count data

Beyond the Valley of the Covariance Function ⬇️

Combined effects of hydrometeorological hazards and urbanisation on dengue risk in Brazil: a spatiotemporal modelling study

Competing risks joint models using R-INLA

Discrete versus continuous domain models for disease mapping

Discussion on “Spatial prediction in the presence of positional error”

Does non-stationary spatial data always require non-stationary random fields?

Effects of mRNA amplification on gene expression ratios in cDNA experiments estimated by analysis of variance

Estimating Animal Abundance with N-Mixture Models Using the R-INLA Package for R

Estimating multilevel regional variation in excess mortality of cancer patients using integrated nested Laplace approximation

Estimating stochastic volatility models using integrated nested Laplace approximations

Exploring a New Class of Non-stationary Spatial Gaussian Random Fields with Varying Local Anisotropy

Factors involved in health-related transitions after curative resection for pancreatic cancer. 10-Years experience: A multi state model ⬇️

Fast sampling of Gaussian Markov random fields ⬇️

Going off grid: computationally efficient inference for log-Gaussian Cox processes

Importance Sampling with the Integrated Nested Laplace Approximation

Improving Bayesian Local Spatial Models in Large Datasets

In order to make spatial statistics computationally feasible, we need to forget about the covariance function

Integrated nested Laplace approximations for threshold stochastic volatility models

Intuitive Joint Priors for Variance Parameters

Joint posterior inference for latent Gaussian models with R-INLA

Joint spatial analysis of gastrointestinal infectious diseases

Joint tracking of multiple quantiles through conditional quantiles ⬇️

Log Gaussian Cox processes and spatially aggregated disease incidence data ⬇️

New Doppler-based imaging method in echocardiography with applications in blood/tissue segmentation

New echocardiographic imaging method based on the bandwidth of the ultrasound Doppler signal with applications in blood/tissue segmentation in the left ventricle

Non-stationary Gaussian models with physical barriers

On Block Updating in Markov Random Field Models for Disease Mapping ⬇️

On the Second-Order Random Walk Model for Irregular Locations

Space-varying regression models: specifications and simulation

Spatial Data Analysis with<i>R</i>-<b>INLA</b>with Some Extensions

Spatial Models Using Laplace Approximation Methods

Spatial and spatio-temporal models with R-INLA.

Spatial and spatio-temporal models with R-INLA.

Spatio-temporal log-Gaussian Cox processes for modelling wildfire occurrence: the case of Catalonia, 1994–2008

Spatio-temporal modeling of particulate matter concentration through the SPDE approach

Statistical estimation of global surface temperature response to forcing under the assumption of temporal scaling

The SPDE approach for Gaussian and non-Gaussian fields: 10 years and still running ⬇️

The SPDE approach for Gaussian and non-Gaussian fields: 10 years and still running

Think continuous: Markovian Gaussian models in spatial statistics

Towards joint disease mapping

Unemployment estimation: Spatial point referenced methods and models