Håvard Rue - RankMe

52 papers A 1C 1Journal 48Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Optimal information deletion and Bayes' theorem. CoRR Hans Montcho, Håvard Rue
2026	J	`jnl`	PyINLA: Fast Bayesian Inference for Latent Gaussian Models in Python. CoRR Esmail Abdul Fattah, Elias Teixeira Krainski, Håvard Rue
2025	A	`conf`	Accelerated Spatio-Temporal Bayesian Modeling for Multivariate Gaussian Processes. SC Lisa Gaedke-Merzhäuser, Vincent Maillou, Fernando Rodriguez Avellaneda, Olaf Schenk, Paula Moraga, Mathieu Luisier, Alexandros Nikolaos Ziogas, Håvard Rue
2025	J	`jnl`	Accelerated Spatio-Temporal Bayesian Modeling for Multivariate Gaussian Processes. CoRR Lisa Gaedke-Merzhäuser, Vincent Maillou, Fernando Rodriguez Avellaneda, Olaf Schenk, Mathieu Luisier, Paula Moraga, Alexandros Nikolaos Ziogas, Håvard Rue
2025	J	`jnl`	GPU-Accelerated Parallel Selected Inversion for Structured Matrices Using sTiles. CoRR Esmail Abdul Fattah, Hatem Ltaief, Håvard Rue, David E. Keyes
2025	J	`jnl`	INLA Stat. Comput. Esmail Abdul Fattah, Janet van Niekerk, Håvard Rue
2025	J	`jnl`	Parallel Selected Inversion for Space-Time Gaussian Markov Random Fields. Stat. Comput. Abylay Zhumekenov, Elias Teixeira Krainski, Håvard Rue
2025	C	`conf`	sTiles: An Accelerated Computational Framework for Sparse Factorizations of Structured Matrices. ISC Esmail Abdul Fattah, Hatem Ltaief, Håvard Rue, David E. Keyes
2025	J	`jnl`	sTiles: An Accelerated Computational Framework for Sparse Factorizations of Structured Matrices. CoRR Esmail Abdul Fattah, Hatem Ltaief, Håvard Rue, David E. Keyes
2024	J	`jnl`	Integrated Nested Laplace Approximations for Large-Scale Spatiotemporal Bayesian Modeling. SIAM J. Sci. Comput. Lisa Gaedke-Merzhäuser, Elias Teixeira Krainski, Radim Janalík, Håvard Rue, Olaf Schenk
2023	J	`jnl`	A new avenue for Bayesian inference with INLA. Comput. Stat. Data Anal. Janet van Niekerk, Elias Teixeira Krainski, Denis Rustand, Håvard Rue
2023	J	`jnl`	Bayesian Inference for Multivariate Spatial Models with INLA. R J. Francisco Palmí-Perales, Virgilio Gómez-Rubio, Roger S. Bivand, Michela Cameletti, Håvard Rue
2023	J	`jnl`	Efficient quantile tracking using an oracle. Appl. Intell. Hugo Lewi Hammer, Anis Yazidi, Michael A. Riegler, Håvard Rue
2023	J	`jnl`	Fast Bayesian inference of block Nearest Neighbor Gaussian models for large data. Stat. Comput. Zaida C. Quiroz, Marcos Oliveira Prates, Dipak K. Dey, Håvard Rue
2023	J	`jnl`	Integrated Nested Laplace Approximations for Large-Scale Spatial-Temporal Bayesian Modeling. CoRR Lisa Gaedke-Merzhäuser, Elias Teixeira Krainski, Radim Janalík, Håvard Rue, Olaf Schenk
2023	J	`jnl`	Parallelized integrated nested Laplace approximations for fast Bayesian inference. Stat. Comput. Lisa Gaedke-Merzhäuser, Janet van Niekerk, Olaf Schenk, Håvard Rue
2023	J	`jnl`	The Bayesian Learning Rule. J. Mach. Learn. Res. Mohammad Emtiyaz Khan, Håvard Rue
2023	J	`jnl`	Towards black-box parameter estimation. CoRR Amanda Lenzi, Håvard Rue
2022	J	`jnl`	Estimating Tukey depth using incremental quantile estimators. Pattern Recognit. Hugo Hammer, Anis Yazidi, Håvard Rue
2022	J	`jnl`	Importance Sampling with the Integrated Nested Laplace Approximation. J. Comput. Graph. Stat. Martin Outzen Berild, Sara Martino, Virgilio Gómez-Rubio, Håvard Rue
2022	J	`jnl`	Parallelized integrated nested Laplace approximations for fast Bayesian inference. CoRR Lisa Gaedke-Merzhäuser, Janet van Niekerk, Olaf Schenk, Håvard Rue
2021	J	`jnl`	A novel method of marginalisation using low discrepancy sequences for integrated nested Laplace approximations. Comput. Stat. Data Anal. Paul T. Brown, Chaitanya Joshi, Stephen Joe, Håvard Rue
2021	J	`jnl`	Correcting the Laplace Method with Variational Bayes. CoRR Janet van Niekerk, Håvard Rue
2021	J	`jnl`	Improving Bayesian Local Spatial Models in Large Datasets. J. Comput. Graph. Stat. Amanda Lenzi, Stefano Castruccio, Håvard Rue, Marc G. Genton
2021	J	`jnl`	Joint tracking of multiple quantiles through conditional quantiles. Inf. Sci. Hugo Lewi Hammer, Anis Yazidi, Håvard Rue
2021	J	`jnl`	New Frontiers in Bayesian Modeling Using the INLA Package in R. J. Stat. Softw. Janet van Niekerk, Haakon Bakka, Håvard Rue, Olaf Schenk
2021	J	`jnl`	Smart Gradient - An Adaptive Technique for Improving Gradient Estimation. CoRR Esmail Abdul Fattah, Janet van Niekerk, Håvard Rue
2021	J	`jnl`	The Bayesian Learning Rule. CoRR Mohammad Emtiyaz Khan, Håvard Rue
2020	J	`jnl`	Estimating Animal Abundance with N-Mixture Models Using the R-INLA Package for R. J. Stat. Softw. Timothy D. Meehan, Nicole L. Michel, Håvard Rue
2020	J	`jnl`	Tracking of multiple quantiles in dynamically varying data streams. Pattern Anal. Appl. Hugo Lewi Hammer, Anis Yazidi, Håvard Rue
2019	J	`jnl`	A new quantile tracking algorithm using a generalized exponentially weighted average of observations. Appl. Intell. Hugo Lewi Hammer, Anis Yazidi, Håvard Rue
2019	J	`jnl`	An approximate fractional Gaussian noise model with $$\mathcal {O}(n)$$ O ( n ) computational cost. Stat. Comput. Sigrunn Holbek Sørbye, Eirik Myrvoll-Nilsen, Håvard Rue
2018	J	`jnl`	Markov chain Monte Carlo with the Integrated Nested Laplace Approximation. Stat. Comput. Virgilio Gómez-Rubio, Håvard Rue
2016	J	`jnl`	A skew Gaussian decomposable graphical model. J. Multivar. Anal. Hamid Zareifard, Håvard Rue, Majid Jafari Khaledi, Finn Lindgren
2015	J	`jnl`	Introduction to "Fast matrix computations for functional additive models" by S. Barthelmé. Stat. Comput. Håvard Rue
2013	J	`jnl`	Bayesian computing with INLA: New features. Comput. Stat. Data Anal. Thiago G. Martins, Daniel Simpson, Finn Lindgren, Håvard Rue
2012	J	`jnl`	Approximate Bayesian inference for large spatial datasets using predictive process models. Comput. Stat. Data Anal. Jo Eidsvik, Andrew O. Finley, Sudipto Banerjee, Håvard Rue
2012	J	`jnl`	Bayesian multiscale analysis of images modeled as Gaussian Markov random fields. Comput. Stat. Data Anal. Kevin Thon, Håvard Rue, Stein Olav Skrøvseth, Fred Godtliebsen
2012	J	`jnl`	Direct fitting of dynamic models using integrated nested Laplace approximations - INLA. Comput. Stat. Data Anal. Ramiro Ruiz-Cárdenas, Elias Teixeira Krainski, Håvard Rue
2012	J	`jnl`	On a hybrid data cloning method and its application in generalized linear mixed models. Stat. Comput. Hossein Baghishani, Håvard Rue, Mohsen Mohammadzadeh
2011	J	`jnl`	Bayesian inference for additive mixed quantile regression models. Comput. Stat. Data Anal. Yu Ryan Yue, Håvard Rue
2009	J	`jnl`	Bayesian multiscale feature detection of log-spectral densities. Comput. Stat. Data Anal. Sigrunn Holbek Sørbye, Kristian Hindberg, Lena Ringstad Olsen, Håvard Rue
2009	J	`jnl`	Improved auxiliary mixture sampling for hierarchical models of non-Gaussian data. Stat. Comput. Sylvia Frühwirth-Schnatter, Rudolf Frühwirth, Leonhard Held, Håvard Rue
2009	J	`jnl`	New Doppler-based imaging method in echocardiography with applications in blood/tissue segmentation. Comput. Methods Programs Biomed. Sigve Hovda, Håvard Rue, Bjørn Olstad
2008	J	`jnl`	New echocardiographic imaging method based on the bandwidth of the ultrasound Doppler signal with applications in blood/tissue segmentation in the left ventricle. Comput. Methods Programs Biomed. Sigve Hovda, Håvard Rue, Bjørn Olstad
2007	—	`conf`	Bandwidth of the Ultrasound Doppler Signal with Applications in Blood/Tissue Segmentation in the Left Ventricle. MIMI Sigve Hovda, Håvard Rue, Bjørn Olstad
2007	—	`conf`	New Doppler-Based Imaging Method in Echocardiography with Applications in Blood/Tissue Segmentation. MIMI Sigve Hovda, Håvard Rue, Bjørn Olstad
2006	J	`jnl`	Bayesian multiscale analysis for time series data. Comput. Stat. Data Anal. Tor Arne Øigård, Håvard Rue, Fred Godtliebsen
2003	J	`jnl`	Space-varying regression models: specifications and simulation. Comput. Stat. Data Anal. Dani Gamerman, Ajax R. B. Moreira, Håvard Rue
2001	J	`jnl`	Parameter estimation for a deformable template model. Stat. Comput. Merrilee Hurn, Ingelin Steinsland, Håvard Rue
1998	J	`jnl`	Identification of partly destroyed objects using deformable templates. Stat. Comput. Håvard Rue, Oddvar K. Husby
1992	J	`jnl`	New algorithms for maximum entropy image restoration. CVGIP Graph. Model. Image Process. Jan Myrheim, Håvard Rue