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Håvard Rue
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2020 – today
- 2024
- [j35]Lisa Gaedke-Merzhäuser, Elias Teixeira Krainski, Radim Janalík, Håvard Rue, Olaf Schenk:
Integrated Nested Laplace Approximations for Large-Scale Spatiotemporal Bayesian Modeling. SIAM J. Sci. Comput. 46(4): 448- (2024) - 2023
- [j34]Hugo Lewi Hammer, Anis Yazidi, Michael A. Riegler, Håvard Rue:
Efficient quantile tracking using an oracle. Appl. Intell. 53(1): 289-300 (2023) - [j33]Janet van Niekerk, Elias Teixeira Krainski, Denis Rustand, Håvard Rue:
A new avenue for Bayesian inference with INLA. Comput. Stat. Data Anal. 181: 107692 (2023) - [j32]Mohammad Emtiyaz Khan, Håvard Rue:
The Bayesian Learning Rule. J. Mach. Learn. Res. 24: 281:1-281:46 (2023) - [j31]Francisco Palmí-Perales, Virgilio Gómez-Rubio, Roger S. Bivand, Michela Cameletti, Håvard Rue:
Bayesian Inference for Multivariate Spatial Models with INLA. R J. 15(3): 172-190 (2023) - [j30]Lisa Gaedke-Merzhäuser, Janet van Niekerk, Olaf Schenk, Håvard Rue:
Parallelized integrated nested Laplace approximations for fast Bayesian inference. Stat. Comput. 33(1): 25 (2023) - [j29]Zaida C. Quiroz, Marcos Oliveira Prates, Dipak K. Dey, Håvard Rue:
Fast Bayesian inference of block Nearest Neighbor Gaussian models for large data. Stat. Comput. 33(2): 54 (2023) - [i6]Amanda Lenzi, Håvard Rue:
Towards black-box parameter estimation. CoRR abs/2303.15041 (2023) - [i5]Lisa Gaedke-Merzhäuser, Elias Teixeira Krainski, Radim Janalík, Håvard Rue, Olaf Schenk:
Integrated Nested Laplace Approximations for Large-Scale Spatial-Temporal Bayesian Modeling. CoRR abs/2303.15254 (2023) - 2022
- [j28]Martin Outzen Berild, Sara Martino, Virgilio Gómez-Rubio, Håvard Rue:
Importance Sampling with the Integrated Nested Laplace Approximation. J. Comput. Graph. Stat. 31(4): 1225-1237 (2022) - [j27]Hugo Hammer, Anis Yazidi, Håvard Rue:
Estimating Tukey depth using incremental quantile estimators. Pattern Recognit. 122: 108339 (2022) - [i4]Lisa Gaedke-Merzhäuser, Janet van Niekerk, Olaf Schenk, Håvard Rue:
Parallelized integrated nested Laplace approximations for fast Bayesian inference. CoRR abs/2204.04678 (2022) - 2021
- [j26]Paul T. Brown, Chaitanya Joshi, Stephen Joe, Håvard Rue:
A novel method of marginalisation using low discrepancy sequences for integrated nested Laplace approximations. Comput. Stat. Data Anal. 157: 107147 (2021) - [j25]Hugo Lewi Hammer, Anis Yazidi, Håvard Rue:
Joint tracking of multiple quantiles through conditional quantiles. Inf. Sci. 563: 40-58 (2021) - [j24]Amanda Lenzi, Stefano Castruccio, Håvard Rue, Marc G. Genton:
Improving Bayesian Local Spatial Models in Large Datasets. J. Comput. Graph. Stat. 30(2): 349-359 (2021) - [j23]Janet van Niekerk, Haakon Bakka, Håvard Rue, Olaf Schenk:
New Frontiers in Bayesian Modeling Using the INLA Package in R. J. Stat. Softw. 100(2) (2021) - [i3]Esmail Abdul Fattah, Janet van Niekerk, Håvard Rue:
Smart Gradient - An Adaptive Technique for Improving Gradient Estimation. CoRR abs/2106.07313 (2021) - [i2]Mohammad Emtiyaz Khan, Håvard Rue:
The Bayesian Learning Rule. CoRR abs/2107.04562 (2021) - [i1]Janet van Niekerk, Håvard Rue:
Correcting the Laplace Method with Variational Bayes. CoRR abs/2111.12945 (2021) - 2020
- [j22]Timothy D. Meehan, Nicole L. Michel, Håvard Rue:
Estimating Animal Abundance with N-Mixture Models Using the R-INLA Package for R. J. Stat. Softw. 95(1) (2020) - [j21]Hugo Lewi Hammer, Anis Yazidi, Håvard Rue:
Tracking of multiple quantiles in dynamically varying data streams. Pattern Anal. Appl. 23(1): 225-237 (2020)
2010 – 2019
- 2019
- [j20]Hugo Lewi Hammer, Anis Yazidi, Håvard Rue:
A new quantile tracking algorithm using a generalized exponentially weighted average of observations. Appl. Intell. 49(4): 1406-1420 (2019) - [j19]Sigrunn Holbek Sørbye, Eirik Myrvoll-Nilsen, Håvard Rue:
An approximate fractional Gaussian noise model with $$\mathcal {O}(n)$$ O ( n ) computational cost. Stat. Comput. 29(4): 821-833 (2019) - 2018
- [j18]Virgilio Gómez-Rubio, Håvard Rue:
Markov chain Monte Carlo with the Integrated Nested Laplace Approximation. Stat. Comput. 28(5): 1033-1051 (2018) - 2016
- [j17]Hamid Zareifard, Håvard Rue, Majid Jafari Khaledi, Finn Lindgren:
A skew Gaussian decomposable graphical model. J. Multivar. Anal. 145: 58-72 (2016) - 2015
- [j16]Håvard Rue:
Introduction to "Fast matrix computations for functional additive models" by S. Barthelmé. Stat. Comput. 25(1): 45 (2015) - 2013
- [j15]Thiago G. Martins, Daniel Simpson, Finn Lindgren, Håvard Rue:
Bayesian computing with INLA: New features. Comput. Stat. Data Anal. 67: 68-83 (2013) - 2012
- [j14]Kevin Thon, Håvard Rue, Stein Olav Skrøvseth, Fred Godtliebsen:
Bayesian multiscale analysis of images modeled as Gaussian Markov random fields. Comput. Stat. Data Anal. 56(1): 49-61 (2012) - [j13]Jo Eidsvik, Andrew O. Finley, Sudipto Banerjee, Håvard Rue:
Approximate Bayesian inference for large spatial datasets using predictive process models. Comput. Stat. Data Anal. 56(6): 1362-1380 (2012) - [j12]Ramiro Ruiz-Cárdenas, Elias Teixeira Krainski, Håvard Rue:
Direct fitting of dynamic models using integrated nested Laplace approximations - INLA. Comput. Stat. Data Anal. 56(6): 1808-1828 (2012) - [j11]Hossein Baghishani, Håvard Rue, Mohsen Mohammadzadeh:
On a hybrid data cloning method and its application in generalized linear mixed models. Stat. Comput. 22(2): 597-613 (2012) - 2011
- [j10]Yu Ryan Yue, Håvard Rue:
Bayesian inference for additive mixed quantile regression models. Comput. Stat. Data Anal. 55(1): 84-96 (2011)
2000 – 2009
- 2009
- [j9]Sigve Hovda, Håvard Rue, Bjørn Olstad:
New Doppler-based imaging method in echocardiography with applications in blood/tissue segmentation. Comput. Methods Programs Biomed. 96(1): 12-24 (2009) - [j8]Sigrunn Holbek Sørbye, Kristian Hindberg, Lena Ringstad Olsen, Håvard Rue:
Bayesian multiscale feature detection of log-spectral densities. Comput. Stat. Data Anal. 53(11): 3746-3754 (2009) - [j7]Sylvia Frühwirth-Schnatter, Rudolf Frühwirth, Leonhard Held, Håvard Rue:
Improved auxiliary mixture sampling for hierarchical models of non-Gaussian data. Stat. Comput. 19(4): 479-492 (2009) - 2008
- [j6]Sigve Hovda, Håvard Rue, Bjørn Olstad:
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. 92(3): 279-288 (2008) - 2007
- [c2]Sigve Hovda, Håvard Rue, Bjørn Olstad:
New Doppler-Based Imaging Method in Echocardiography with Applications in Blood/Tissue Segmentation. MIMI 2007: 207-215 - [c1]Sigve Hovda, Håvard Rue, Bjørn Olstad:
Bandwidth of the Ultrasound Doppler Signal with Applications in Blood/Tissue Segmentation in the Left Ventricle. MIMI 2007: 233-242 - 2006
- [j5]Tor Arne Øigård, Håvard Rue, Fred Godtliebsen:
Bayesian multiscale analysis for time series data. Comput. Stat. Data Anal. 51(3): 1719-1730 (2006) - 2003
- [j4]Dani Gamerman, Ajax R. B. Moreira, Håvard Rue:
Space-varying regression models: specifications and simulation. Comput. Stat. Data Anal. 42(3): 513-533 (2003) - 2001
- [j3]Merrilee Hurn, Ingelin Steinsland, Håvard Rue:
Parameter estimation for a deformable template model. Stat. Comput. 11(4): 337-346 (2001)
1990 – 1999
- 1998
- [j2]Håvard Rue, Oddvar K. Husby:
Identification of partly destroyed objects using deformable templates. Stat. Comput. 8(3): 221-228 (1998) - 1992
- [j1]Jan Myrheim, Håvard Rue:
New algorithms for maximum entropy image restoration. CVGIP Graph. Model. Image Process. 54(3): 223-238 (1992)
Coauthor Index
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last updated on 2024-10-07 22:25 CEST by the dblp team
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