Håvard Rue

About Håvard Rue

Håvard Rue, With an exceptional h-index of 63 and a recent h-index of 46 (since 2020), a distinguished researcher at King Abdullah University of Science and Technology, specializes in the field of Statistics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Past, Present and Future of Software for Bayesian Inference

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

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

Non-stationary Bayesian spatial model for disease mapping based on sub-regions<? show [AQ ID= GQ6]?>

Joint quantile disease mapping with application to malaria and G6PD deficiency

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

Low-rank variational Bayes correction to the Laplace method

Spatio-temporal Occupancy Models with INLA

Håvard Rue Information

University

Position

___

Citations(all)

27597

Citations(since 2020)

15109

Cited By

18413

hIndex(all)

63

hIndex(since 2020)

46

i10Index(all)

166

i10Index(since 2020)

115

Email

University Profile Page

King Abdullah University of Science and Technology

Google Scholar

View Google Scholar Profile

Håvard Rue Skills & Research Interests

Statistics

Top articles of Håvard Rue

Title

Journal

Author(s)

Publication Date

Past, Present and Future of Software for Bayesian Inference

Erik Štrumbelj

Alexandre Bouchard-Côté

Jukka Corander

Andrew Gelman

Håvard Rue

...

2024/2

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

Statistics and Computing

Joaquín Martínez-Minaya

Haavard Rue

2024/6

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

Journal of the American Statistical Association

Rafael Cabral

David Bolin

Håvard Rue

2024/1/30

Non-stationary Bayesian spatial model for disease mapping based on sub-regions<? show [AQ ID= GQ6]?>

arXiv preprint arXiv:2306.17236

Esmail Abdul Fattah

Elias Krainski

Janet van Niekerk

Håvard Rue

2023/6/29

Joint quantile disease mapping with application to malaria and G6PD deficiency

Royal Society Open Science

Hanan Alahmadi

Janet van Niekerk

Tullia Padellini

Håvard Rue

2024/1/3

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

Biostatistics

Denis Rustand

Janet Van Niekerk

Elias Teixeira Krainski

Håvard Rue

Cécile Proust-Lima

2024/4/1

Low-rank variational Bayes correction to the Laplace method

Journal of Machine Learning Research

Janet van Niekerk

Haavard Rue

2024

Spatio-temporal Occupancy Models with INLA

arXiv preprint arXiv:2403.10680

Jafet Belmont

Sara Martino

Janine Illian

Håvard Rue

2024/3/15

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

arXiv preprint arXiv:2402.08335

Denis Rustand

Janet van Niekerk

Elias Teixeira Krainski

Håvard Rue

2024/2/13

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

Fengqing Chao

Bruno Masquelier

Danzhen You

Lucia Hug

Yang Liu

...

2023/10/1

Enhanced spatial modeling on linear networks using Gaussian Whittle-Mat\'ern fields

arXiv preprint arXiv:2312.01166

Somnath Chaudhuri

Maria A Barceló

Pablo Juan

Diego Varga

David Bolin

...

2023/12/2

Towards black-box parameter estimation

arXiv preprint arXiv:2303.15041

Amanda Lenzi

Haavard Rue

2023/3/27

A new avenue for Bayesian inference with INLA

Computational Statistics & Data Analysis

Janet Van Niekerk

Elias Krainski

Denis Rustand

Håvard Rue

2023/5/1

Parallel Selected Inversion for Space-Time Gaussian Markov Random Fields

arXiv preprint arXiv:2309.05435

Abylay Zhumekenov

Elias T Krainski

Håvard Rue

2023/9/11

Controlling the flexibility of non-Gaussian processes through shrinkage priors

Bayesian Analysis

Rafael Cabral

David Bolin

Håvard Rue

2023/12

Joint posterior inference for latent Gaussian models with R-INLA

Journal of Statistical Computation and Simulation

Cristian Chiuchiolo

Janet van Niekerk

Håvard Rue

2023/3/24

Flexible Multivariate, Spatial, and Causal Models for Extremes

Ying Sun

Marc G Genton

Fouzi Harrou

Hernando Ombao

Haavard Rue

2023/4/17

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

Hunanyan Sona

Rue Håvard

Plummer Martyn

Roos Małgorzata

2023/9

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

arXiv preprint arXiv:2311.17100

A Adin

E Krainski

A Lenzi

Z Liu

J Martínez-Minaya

...

2023/11/28

Parallelized integrated nested Laplace approximations for fast Bayesian inference

Statistics and Computing

Lisa Gaedke-Merzhäuser

Janet van Niekerk

Olaf Schenk

Håvard Rue

2023/2

See List of Professors in Håvard Rue University(King Abdullah University of Science and Technology)

Co-Authors

H-index: 62
Leonhard Held

Leonhard Held

Universität Zürich

H-index: 47
Roger Bivand

Roger Bivand

Norges Handelshøyskole

H-index: 45
Arnoldo Frigessi

Arnoldo Frigessi

Universitetet i Oslo

H-index: 38
Dag Myrhaug

Dag Myrhaug

Norges teknisk-naturvitenskaplige universitet

H-index: 36
Daniel Simpson

Daniel Simpson

University of Toronto

H-index: 26
Nicolas Chopin

Nicolas Chopin

ENSAE ParisTech

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