Personal information

No personal information available

Activities

Employment (3)

King Abdullah University of Science and Technology (KAUST): Thuwal, SA

2017-11-28 to present | Professor, Statistics (Computer, Electrical and Mathematical Sciences and Engineering)
Employment
Source: check_circle
KAUST Repository

King Abdullah University of Science and Technology: Thuwal, SA

2017-01-01 to present | Professor (Applied Mathematics and Computer Science)
Employment
Source: Self-asserted source
Håvard Rue

King Abdullah University of Science and Technology (KAUST): Thuwal, SA

2017-01-02 to 2017-11-27 | Professor of Applied Mathematics & Comp (Computer, Electrical and Mathematical Sciences and Engineering)
Employment
Source: check_circle
KAUST Repository

Works (50 of 99)

Items per page:
Page 1 of 2

Jafet Belmont, Sara Martino, Janine Illian and Rue Håvard“s contribution to the Discussion of the 'Discussion Meeting on the Analysis of citizen science data”

Journal of the Royal Statistical Society Series A: Statistics in Society
2025 | Journal article
Source: check_circle
KAUST Repository

Scalable skewed Bayesian inference for latent Gaussian models

2025 | Working paper
Source: check_circle
KAUST Repository

sTiles: An Accelerated Computational Framework for Sparse Factorizations of Structured Matrices

2025 | Working paper
Source: check_circle
KAUST Repository

INLA$$^+$$: approximate Bayesian inference for non-sparse models using HPC

Statistics and Computing
2025-02 | Journal article
Contributors: Esmail Abdul Fattah; Janet Van Niekerk; Håvard Rue
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

A diffusion-based spatio-temporal extension of Gaussian Matérn fields

Accepted for publication in the journal SORT (Statistics and Operations Research Transactions)
2024 | Journal article
Source: check_circle
KAUST Repository

A flexible Bayesian tool for CoDa mixed models: logistic-normal distribution with Dirichlet covariance

Statistics and Computing
2024 | Journal article
Source: check_circle
KAUST Repository

Automatic cross-validation in structured models: Is it time to leave out leave-one-out?

Spatial Statistics
2024 | Journal article
Source: check_circle
KAUST Repository

Bayesian models for missing and misclassified variables using integrated nested Laplace approximations

2024 | Working paper
Source: check_circle
KAUST Repository

Bayesian survival analysis with INLA

Statistics in Medicine
2024 | Journal article
Source: check_circle
KAUST Repository

Discussion contribution to the paper by Dennis et al. on the "Analysis of citizen science data"

Journal of the Royal Statistical Society: Series A
2024 | Journal article
Source: check_circle
KAUST Repository

inlabru: software for fitting latent Gaussian models with non-linear predictors

2024 | Working paper
Source: check_circle
KAUST Repository

Integrated Nested Laplace Approximations for Large-Scale Spatio-Temporal Bayesian Modeling

SIAM Journal on Scientific Computing
2024 | Journal article
Source: check_circle
KAUST Repository

Integrated Nested Laplace Approximations for Large-Scale Spatiotemporal Bayesian Modeling

SIAM Journal on Scientific Computing
2024 | Journal article
Source: check_circle
KAUST Repository

Joint Modeling of Multivariate Longitudinal and Survival Outcomes with the R package INLAjoint

2024 | Working paper
Source: check_circle
KAUST Repository

Low-rank variational Bayes correction to the Laplace method

Journal of Machine Learning Research
2024 | Journal article
Source: check_circle
KAUST Repository

Non-stationary Bayesian spatial model for disease mapping based on sub-regions

Statistical Methods in Medical Research
2024 | Journal article
Source: check_circle
KAUST Repository

Spatio-temporal occupancy models with INLA

Methods in Ecology and Evolution
2024 | Journal article
Source: check_circle
KAUST Repository

Spatio-temporal Occupancy Models with INLA

2024 | Working paper
Source: check_circle
KAUST Repository

Robustness, model checking, and hierarchical models

Journal of the Royal Statistical Society Series B: Statistical Methodology
2024-12-02 | Journal article
Contributors: Rafael Cabral; David Bolin; Håvard Rue
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

A graphical framework for interpretable correlation matrix models

2023 | Working paper
Source: check_circle
KAUST Repository

A new avenue for Bayesian inference with INLA

Computational Statistics and Data Analysis
2023 | Journal article
Source: check_circle
KAUST Repository

Bayesian Estimation of Two-Part Joint Models for a Longitudinal Semicontinuous Biomarker and a Terminal Event with R-INLA: Interests for Cancer Clinical Trial Evaluation

Accepted by Biometrical Journal
2023 | Journal article
Source: check_circle
KAUST Repository

Bayesian Inference for Multivariate Spatial Models with R-INLA

Accepted by The R Journal
2023 | Journal article
Source: check_circle
KAUST Repository

Enhanced spatial modeling on linear networks using Gaussian Whittle-Matérn fields

2023 | Working paper
Source: check_circle
KAUST Repository

Fast and flexible inference for joint models of multivariate longitudinal and survival data using integrated nested Laplace approximations.

Biostatistics (Oxford, England)
2023 | Journal article
Source: check_circle
KAUST Repository

Fast Bayesian inference of block Nearest Neighbor Gaussian models for large data

Statistics and Computing
2023 | Journal article
Source: check_circle
KAUST Repository

Fitting latent non-Gaussian models using variational Bayes and Laplace approximations

Accepted for publication in 'Journal of the American Statistical Association'
2023 | Journal article
Source: check_circle
KAUST Repository

Joint Modeling and Prediction of Massive Spatio-Temporal Wildfire Count and Burnt Area Data with the INLA-SPDE Approach

Accepted by Extremes
2023 | Journal article
Source: check_circle
KAUST Repository

Joint Quantile Disease Mapping with Application to Malaria and G6PD Deficiency

Royal Society Open Science
2023 | Journal article
Source: check_circle
KAUST Repository

Parallel Selected Inversion for Space-Time Gaussian Markov Random Fields

2023 | Working paper
Source: check_circle
KAUST Repository

Past, Present, and Future of Software for Bayesian Inference

Accepted by Statistical Science
2023 | Journal article
Source: check_circle
KAUST Repository

Quantification of Empirical Determinacy: The Impact of Likelihood Weighting on Posterior Location and Spread in Bayesian Meta-Analysis Estimated with JAGS and INLA

BAYESIAN ANALYSIS
2023 | Journal article
Source: check_circle
KAUST Repository

Robustness, model checking and latent Gaussian models

The Royal Statistical Society: Series B
2023 | Working paper
Source: check_circle
KAUST Repository

Sex differences in mortality among children, adolescents, and young people aged 0-24 years: a systematic assessment of national, regional, and global trends from 1990 to 2021.

The Lancet. Global health
2023 | Journal article
Source: check_circle
KAUST Repository

Sex differences in survival chances among children, adolescents, and youth ages 0-24: A systematic assessment of national, regional, and global trends from 1990 to 2021

Source: check_circle
KAUST Repository

The Bayesian Learning Rule

Accepted by Journal of Machine Learning Research
2023 | Journal article
Source: check_circle
KAUST Repository

Towards black-box parameter estimation

2023 | Working paper
Source: check_circle
KAUST Repository

Zaidajqc/blockNNGP:

2023 | Software
Source: check_circle
KAUST Repository

Joint posterior inference for latent Gaussian models with R-INLA

Journal of Statistical Computation and Simulation
2023-03-24 | Journal article
Contributors: Cristian Chiuchiolo; Janet van Niekerk; Håvard Rue
Source: check_circle
Crossref

An Extended Simplified Laplace strategy for Approximate Bayesian inference of Latent Gaussian Models using R-INLA

2022 | Working paper
Source: check_circle
KAUST Repository

Approximate Bayesian Inference for the Interaction Types 1, 2, 3 and 4 with Application in Disease Mapping

2022 | Working paper
Source: check_circle
KAUST Repository

Controlling the Flexibility of Non-Gaussian Processes Through Shrinkage Priors

Bayesian Analysis
2022 | Journal article
Source: check_circle
KAUST Repository

Efficient quantile tracking using an oracle

Applied Intelligence
2022 | Journal article
Source: check_circle
KAUST Repository

Importance Sampling with the Integrated Nested Laplace Approximation

Journal of Computational and Graphical Statistics
2022 | Journal article
Source: check_circle
KAUST Repository

Leave-Group-Out Cross-Validation For Latent Gaussian Models

2022 | Working paper
Source: check_circle
KAUST Repository

Modelling Sub-daily Precipitation Extremes with the Blended Generalised Extreme Value Distribution

JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS
2022 | Journal article
Source: check_circle
KAUST Repository

Parallelized integrated nested Laplace approximations for fast Bayesian inference

Statistics and Computing
2022 | Journal article
Source: check_circle
KAUST Repository
grade
Preferred source (of 2)‎

Practical strategies for generalized extreme value-based regression models for extremes

Environmetrics
2022 | Journal article
Source: check_circle
KAUST Repository
grade
Preferred source (of 2)‎

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

Accepted by Spatial Statistics
2022 | Journal article
Source: check_circle
KAUST Repository
grade
Preferred source (of 2)‎

Variance partitioning in spatio-temporal disease mapping models

Statistical methods in medical research
2022 | Journal article
Source: check_circle
KAUST Repository
Items per page:
Page 1 of 2