New algorithms for maximum entropy image restoration. - Jan Myrheim; Håvard Rue (CVGIP Graph. Model. Image Process., 1992)

Identification of partly destroyed objects using deformable templates. - Håvard Rue; Oddvar K. Husby (Stat. Comput., 1998)

Parameter estimation for a deformable template model. - Merrilee Hurn; Ingelin Steinsland; Håvard Rue (Stat. Comput., 2001)

Space-varying regression models: specifications and simulation. - Dani Gamerman; Ajax R. B. Moreira; Håvard Rue (Comput. Stat. Data Anal., 2003)

Bayesian multiscale analysis for time series data. - Tor Arne Øigård; Håvard Rue; Fred Godtliebsen (Comput. Stat. Data Anal., 2006)

Bandwidth of the Ultrasound Doppler Signal with Applications in Blood/Tissue Segmentation in the Left Ventricle. - Sigve Hovda; Håvard Rue; Bjørn Olstad (MIMI, 2007)

New echocardiographic imaging method based on the bandwidth of the ultrasound Doppler signal with applications in blood/tissue segmentation in the left ventricle. - Sigve Hovda; Håvard Rue; Bjørn Olstad (Comput. Methods Programs Biomed., 2008)

New Doppler-based imaging method in echocardiography with applications in blood/tissue segmentation. - Sigve Hovda; Håvard Rue; Bjørn Olstad (Comput. Methods Programs Biomed., 2009)

Bayesian multiscale feature detection of log-spectral densities. - Sigrunn Holbek Sørbye; Kristian Hindberg; Lena Ringstad Olsen; Håvard Rue (Comput. Stat. Data Anal., 2009)

Improved auxiliary mixture sampling for hierarchical models of non-Gaussian data. - Sylvia Frühwirth-Schnatter; Rudolf Frühwirth; Leonhard Held; Håvard Rue (Stat. Comput., 2009)

Bayesian inference for additive mixed quantile regression models. - Yu Ryan Yue; Håvard Rue (Comput. Stat. Data Anal., 2011)

Approximate Bayesian inference for large spatial datasets using predictive process models. - Jo Eidsvik; Andrew O. Finley; Sudipto Banerjee; Håvard Rue (Comput. Stat. Data Anal., 2012)

Direct fitting of dynamic models using integrated nested Laplace approximations - INLA. - Ramiro Ruiz-Cárdenas; Elias Teixeira Krainski; Håvard Rue (Comput. Stat. Data Anal., 2012)

Bayesian multiscale analysis of images modeled as Gaussian Markov random fields. - Kevin Thon; Håvard Rue; Stein Olav Skrøvseth; Fred Godtliebsen (Comput. Stat. Data Anal., 2012)

On a hybrid data cloning method and its application in generalized linear mixed models. - Hossein Baghishani; Håvard Rue; Mohsen Mohammadzadeh (Stat. Comput., 2012)

Bayesian computing with INLA: New features. - Thiago G. Martins; Daniel Simpson; Finn Lindgren; Håvard Rue (Comput. Stat. Data Anal., 2013)

Introduction to "Fast matrix computations for functional additive models" by S. Barthelmé. - Håvard Rue (Stat. Comput., 2015)

A skew Gaussian decomposable graphical model. - Hamid Zareifard; Håvard Rue; Majid Jafari Khaledi; Finn Lindgren (J. Multivar. Anal., 2016)

Markov chain Monte Carlo with the Integrated Nested Laplace Approximation. - Virgilio Gómez-Rubio; Håvard Rue (Stat. Comput., 2018)

A new quantile tracking algorithm using a generalized exponentially weighted average of observations. - Hugo Lewi Hammer; Anis Yazidi; Håvard Rue (Appl. Intell., 2019)

An approximate fractional Gaussian noise model with $$ mathcal {O}(n)$$ O ( n ) computational cost. - Sigrunn Holbek Sørbye; Eirik Myrvoll-Nilsen; Håvard Rue (Stat. Comput., 2019)

Estimating Animal Abundance with N-Mixture Models Using the R-INLA Package for R. - Timothy D. Meehan; Nicole L. Michel; Håvard Rue (J. Stat. Softw., 2020)

Tracking of multiple quantiles in dynamically varying data streams. - Hugo Lewi Hammer; Anis Yazidi; Håvard Rue (Pattern Anal. Appl., 2020)

Smart Gradient - An Adaptive Technique for Improving Gradient Estimation. - Esmail Abdul Fattah; Janet van Niekerk; Håvard Rue (CoRR, 2021)

Correcting the Laplace Method with Variational Bayes. - Janet van Niekerk; Håvard Rue (CoRR, 2021)

A novel method of marginalisation using low discrepancy sequences for integrated nested Laplace approximations. - Paul T. Brown; Chaitanya Joshi; Stephen Joe; Håvard Rue (Comput. Stat. Data Anal., 2021)

Joint tracking of multiple quantiles through conditional quantiles. - Hugo Lewi Hammer; Anis Yazidi; Håvard Rue (Inf. Sci., 2021)

Improving Bayesian Local Spatial Models in Large Datasets. - Amanda Lenzi; Stefano Castruccio; Håvard Rue; Marc G. Genton (J. Comput. Graph. Stat., 2021)

New Frontiers in Bayesian Modeling Using the INLA Package in R. - Janet van Niekerk; Haakon Bakka; Håvard Rue; Olaf Schenk (J. Stat. Softw., 2021)

Estimating Tukey depth using incremental quantile estimators. - Hugo Hammer; Anis Yazidi; Håvard Rue (Pattern Recognit., 2022)

Importance Sampling with the Integrated Nested Laplace Approximation. - Martin Outzen Berild; Sara Martino; Virgilio Gómez-Rubio; Håvard Rue (J. Comput. Graph. Stat., 2022)

Efficient quantile tracking using an oracle. - Hugo Lewi Hammer; Anis Yazidi; Michael A. Riegler; Håvard Rue (Appl. Intell., 2023)

Towards black-box parameter estimation. - Amanda Lenzi; Håvard Rue (CoRR, 2023)

Integrated Nested Laplace Approximations for Large-Scale Spatial-Temporal Bayesian Modeling. - Lisa Gaedke-Merzhäuser; Elias Teixeira Krainski; Radim Janalík; Håvard Rue; Olaf Schenk (CoRR, 2023)

The Bayesian Learning Rule. - Mohammad Emtiyaz Khan; Håvard Rue (J. Mach. Learn. Res., 2023)

Parallelized integrated nested Laplace approximations for fast Bayesian inference. - Lisa Gaedke-Merzhäuser; Janet van Niekerk; Olaf Schenk; Håvard Rue (Stat. Comput., 2023)

Fast Bayesian inference of block Nearest Neighbor Gaussian models for large data. - Zaida C. Quiroz; Marcos Oliveira Prates; Dipak K. Dey; Håvard Rue (Stat. Comput., 2023)

A new avenue for Bayesian inference with INLA. - Janet van Niekerk; Elias Teixeira Krainski; Denis Rustand; Håvard Rue (Comput. Stat. Data Anal., 2023)

Bayesian Inference for Multivariate Spatial Models with INLA. - Francisco Palmí-Perales; Virgilio Gómez-Rubio; Roger S. Bivand; Michela Cameletti; Håvard Rue (R J., 2023)

Integrated Nested Laplace Approximations for Large-Scale Spatiotemporal Bayesian Modeling. - Lisa Gaedke-Merzhäuser; Elias Teixeira Krainski; Radim Janalík; Håvard Rue; Olaf Schenk (SIAM J. Sci. Comput., 2024)

sTiles: An Accelerated Computational Framework for Sparse Factorizations of Structured Matrices. - Esmail Abdul Fattah; Hatem Ltaief; Håvard Rue; David E. Keyes (ISC, 2025)

INLA+: approximate Bayesian inference for non-sparse models using HPC. - Esmail Abdul Fattah; Janet van Niekerk; Håvard Rue (Stat. Comput., 2025)

GPU-Accelerated Parallel Selected Inversion for Structured Matrices Using sTiles. - Esmail Abdul Fattah; Hatem Ltaief; Håvard Rue; David E. Keyes (CoRR, 2025)

Accelerated Spatio-Temporal Bayesian Modeling for Multivariate Gaussian Processes. - Lisa Gaedke-Merzhäuser; Vincent Maillou; Fernando Rodriguez Avellaneda; Olaf Schenk; Mathieu Luisier; Paula Moraga; Alexandros Nikolaos Ziogas; Håvard Rue (CoRR, 2025)