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Viser treff 1-50 av 226 << Forrige 1 2 3 4 5    Neste >>

2022
1 Berild, Martin Outzen; Martino, Sara; Gómez-Rubio, Virgilio; Rue, Håvard.
Importance Sampling with the Integrated Nested Laplace Approximation. Journal of Computational And Graphical Statistics (JCGS) 2022 ;Volum 31. s. 1225-1237
NTNU Untitled
 
2 Hammer, Hugo Lewi; Yazidi, Anis; Riegler, Michael; Rue, Håvard.
Efficient quantile tracking using an oracle. Applied intelligence (Boston) 2022 s. -
OSLOMET OUS UiT Untitled
 
3 Hammer, Hugo Lewi; Yazidi, Anis; Rue, Håvard.
Estimating Tukey depth using incremental quantile estimators. Pattern Recognition 2022 ;Volum 122. s. -
OSLOMET Untitled
 
4 Vandeskog, Silius Mortensønn; Martino, Sara; Castro-Camilo, Daniela; Rue, Håvard.
Modelling Sub-daily Precipitation Extremes with the Blended Generalised Extreme Value Distribution. Journal of Agricultural Biological and Environmental Statistics 2022 ;Volum 27. s. 598-621
NTNU Untitled
 
2021
5 Hammer, Hugo Lewi; Yazidi, Anis; Rue, Håvard.
Joint tracking of multiple quantiles through conditional quantiles. Information Sciences 2021 ;Volum 563. s. 40-58
OSLOMET Untitled
 
6 Sørbye, Sigrunn Holbek; Nicolau, Pedro Guilherme; Rue, Håvard.
Finite-sample properties of estimators for first and second order autoregressive processes. Statistical Inference for Stochastic Processes : An International Journal devoted to Time Series Analysis and the Statistics of Continuous Time Processes and Dynamical Systems 2021 ;Volum 25.(3) s. 577-598
UiT Untitled
 
7 van Niekerk, Janet; Bakka, Haakon C.; Rue, Håvard.
Competing risks joint models using R-INLA. Statistical Modelling 2021 s. 1-16
Untitled
 
8 Vandeskog, Silius Mortensønn; Martino, Sara; Castro-Camilo, Daniela; Rue, Håvard.
Modelling extreme short-term precipitation with the blended generalised extreme value distribution. Extreme value analysis 2021; 2021-06-28 - 2021-07-02
NTNU Untitled
 
2020
9 Fuglstad, Geir-Arne; Hem, Ingeborg Gullikstad; Knight, Alexander; Rue, Håvard; Riebler, Andrea Ingeborg.
Intuitive Joint Priors for Variance Parameters. Bayesian Analysis 2020 ;Volum 15.(4) s. 1109-1137
NTNU Untitled
 
10 Gómez-Rubio, Virgilio; Bivand, Roger; Rue, Håvard.
Bayesian Model Averaging with the Integrated Nested Laplace Approximation. Econometrics 2020 ;Volum 8.(2)
NHH Untitled
 
11 Myrvoll-Nilsen, Eirik; Sørbye, Sigrunn Holbek; Fredriksen, Hege-Beate; Rue, Håvard; Rypdal, Martin Wibe.
Statistical estimation of global surface temperature response to forcing under the assumption of temporal scaling. Earth System Dynamics (ESD) 2020 ;Volum 11. s. 329-345
UiT Untitled
 
2019
12 Hem, Ingeborg Gullikstad; Fuglstad, Geir-Arne; Knight, Alexander; Riebler, Andrea Ingeborg; Rue, Håvard; Selle, Maria; Gorjanc, Gregor.
Intuitive joint priors for variance parameters. Seminar at Department of Mathematical Sciences, NTNU; 2019-11-04
NTNU Untitled
 
13 Hem, Ingeborg Gullikstad; Fuglstad, Geir-Arne; Knight, Alexander; Rue, Håvard; Riebler, Andrea Ingeborg.
Penalizing Complexity in Bayesian Modeling of Neonatal Mortality. Seminar at the Roslin Institute; 2019-04-05
NTNU Untitled
 
14 Hem, Ingeborg Gullikstad; Fuglstad, Geir-Arne; Knight, Alexander; Rue, Håvard; Riebler, Andrea Ingeborg.
Penalizing Complexity in Bayesian Modeling of Neonatal Mortality. The Hawassa Math & Stat Conference 2019; 2019-02-11 - 2019-02-15
NTNU Untitled
 
15 Hem, Ingeborg Gullikstad; Fuglstad, Geir-Arne; Knight, Alexander; Rue, Håvard; Riebler, Andrea Ingeborg.
Priors for attributing variance in additive model structures. Det 20. norske statistikermøtet; 2019-06-17 - 2019-06-20
NTNU Untitled
 
2018
16 Hem, Ingeborg Gullikstad; Knight, Alexander; Fuglstad, Geir-Arne; Riebler, Andrea Ingeborg; Rue, Håvard.
Penalised Complexity Priors for Multilevel Models. ISBA 2018 World Meeting; 2018-06-24 - 2018-06-29
NTNU Untitled
 
17 Hu, Xiangping; Lindgren, Finn Kristian; Simpson, Daniel Peter; Rue, Håvard.
Spatial modelling using stochastic partial differential equations. Scientific lectures in Central South University; 2018-06-19 - 2018-06-21
NTNU Untitled
 
18 Hu, Xiangping; Rue, Håvard.
Stationary and non-stationary spatial models using SPDE approach. Scientific lectures in Yangtze University; 2018-06-14 - 2018-06-14
NTNU Untitled
 
19 Myrvoll-Nilsen, Eirik; Sørbye, Sigrunn Holbek; Rypdal, Martin wibe; Fredriksen, Hege-Beate; Rue, Håvard.
Modeling global surface temperatures in terms of climate forcing and a long-memory stochastic process. The 27th Nordic Conference in Mathematical Statistics; 2018-06-26 - 2018-06-29
UiT Untitled
 
20 Myrvoll-Nilsen, Eirik; Sørbye, Sigrunn Holbek; Rypdal, Martin wibe; Fredriksen, Hege-Beate; Rue, Håvard.
Modeling global surface temperatures in terms of climate forcing and a long-memory stochastic process. The 4th Baysian Young Statisticians Meeting; 2018-07-02 - 2018-07-03
UiT Untitled
 
21 Seppa, K.; Rue, Håvard; Hakulinen, Timo; Laara, Esa; Sillanpää, Mikko J.; Pitkaniemi, Janne.
Estimating multilevel regional variation in excess mortality of cancer patients using integrated nested Laplace approximation. Statistics in Medicine 2018 ;Volum 38. s. 778-791
NTNU Untitled
 
22 Sørbye, Sigrunn Holbek; Illian, Janine B.; Simpson, Daniel Peter; Burslem, David F. R. P.; Rue, Håvard.
Careful prior specification avoids incautious inference for log-Gaussian Cox point processes. The Journal of the Royal Statistical Society, Series C (Applied Statistics) 2018 s. 1-22
UiT Untitled
 
2017
23 Guo, Jingyi; Riebler, Andrea Ingeborg; Rue, Håvard.
Bayesian bivariate meta-analysis of diagnostic test studies with interpretable priors. Statistics in Medicine 2017 ;Volum 36.(19) s. 3039-3058
NTNU Untitled
 
24 Myrvoll-Nilsen, Eirik; Sørbye, Sigrunn Holbek; Rue, Håvard.
Computationally efficient Bayesian approximation of fractional Gaussian noise. Det 19. Norske Statistikermøtet; 2017-06-13 - 2017-06-15
UiT Untitled
 
25 Rue, Håvard; Riebler, Andrea Ingeborg; Sørbye, Sigrunn Holbek; Illian, Janine B.; Simpson, Daniel Peter; Lindgren, Finn Kristian.
Bayesian Computing with INLA: A Review. Annual Review of Statistics and Its Application 2017 ;Volum 4. s. 395-421
UiT NTNU Untitled
 
2016
26 Bakka, Haakon Christopher; vanhatalo, jarno; Illian, Janine; Simpson, Daniel Peter; Rue, Håvard.
Accounting for physical barriers in species distribution modeling with non-stationary spatial random effects. arXiv:1608.03787: arxiv 2016 21 s.
NTNU Untitled
 
27 Bauer, Cici; Wakefield, Jon; Rue, Håvard; Self, Steve; Feng, Zijian; Wang, Yu.
Bayesian penalized spline models for the analysis of spatio-temporal count data. Statistics in Medicine 2016 ;Volum 35.(11) s. 1848-1865
NTNU Untitled
 
28 Krainski, Elias Teixeira; Lindgren, Finn Kristian; Simpson, Daniel Peter; Rue, Håvard.
A non-separable space-time model. ISBA 2016; 2016-07-13 - 2016-07-17
NTNU UiT Untitled
 
29 Krainski, Elias Teixeira; Riebler, Andrea Ingeborg; Rue, Håvard.
Avoiding linear constraints when accounting for space-time variation in disease risk. ISBA 2016; 2016-07-13 - 2016-07-17
NTNU UiT Untitled
 
30 Riebler, Andrea Ingeborg; Sørbye, Sigrunn Holbek; Simpson, Daniel Peter; Rue, Håvard.
An intuitive Bayesian spatial model for disease mapping that accounts for scaling. Statistical Methods in Medical Research 2016 ;Volum 25.(4) s. 1145-1165
UiT NTNU Untitled
 
31 Rue, Håvard.
Bayesian computing with INLA (12 lectures). Bayesian computing with INLA; a four day course; 2016-06-23 - 2016-06-28
NTNU Untitled
 
32 Rue, Håvard.
Penalising model component complexity: A principled practical approach to constructing priors. Department seminar; 2016-01-21 - 2016-01-21
NTNU UiT Untitled
 
33 Rue, Håvard.
Penalising model component complexity: A principled practical approach to constructing priors. Department seminar; 2016-06-24 - 2016-06-24
NTNU Untitled
 
34 Rue, Håvard.
Sensitivity and robustness for LGMs. Fourth Joint Statistical Meeting of the Deutsche Arbeitsgemeinschaft Statistik "Statistics under one Umbrella"; 2016-03-14 - 2016-03-18
NTNU Untitled
 
35 Rue, Håvard.
Some recent developments in the R-INLA project. 13th Iranian Statistical Conference; 2016-08-23 - 2016-08-25
NTNU Untitled
 
36 Rue, Håvard; Riebler, Andrea Ingeborg; Sørbye, Sigrunn Holbek; Illian, Janine; Simpson, Daniel Peter; Lindgren, Finn Kristian.
Bayesian Computing with INLA: A Review. arXiv:1604.00860: arxiv 2016
NTNU UiT Untitled
 
37 Simpson, Daniel; Illian, Janine B.; Lindgren, Finn; Sørbye, Sigrunn Holbek; Rue, Håvard.
Going off grid: Computationally efficient inference for log-Gaussian Cox processes. Biometrika 2016 ;Volum 103.(1) s. 49-70
NTNU UiT Untitled
 
38 Sørbye, Sigrunn Holbek; Rue, Håvard.
Penalised Complexity Priors for Autoregressive Processes. ISBA 2016 World Meeting; 2016-06-13 - 2016-06-17
NTNU UiT Untitled
 
39 Sørbye, Sigrunn Holbek; Rue, Håvard.
Penalised complexity priors for stationary autoregressive processes. : arXiv.org 2016 14 s. arXiv.org(1608.08941)
NTNU UiT Untitled
 
40 Ventrucci, Massimo; Rue, Håvard.
Penalized complexity priors for degrees of freedom in Bayesian P-splines. Statistical Modelling 2016 ;Volum 16.(6) s. 429-453
NTNU Untitled
 
41 Yuan, Yuan; Bachl, FE; Borchers, David L.; Lindgren, Finn Kristian; Illian, Janine; Buckland, Stephen T.; Rue, Håvard; Gerrodette, T.
Point Process Models for Spatio-Temporal Distance Sampling Data. arxiv.org 1604.06013: arxiv 2016
NTNU Untitled
 
42 Zareifard, Hamid; Rue, Håvard; Khaledi, Majid Jafari; Lindgren, Finn.
A skew Gaussian decomposable graphical model. Journal of Multivariate Analysis 2016 ;Volum 145. s. 58-72
NTNU Untitled
 
2015
43 Bivand, Roger; Gómez-Rubio, Virgilio; Rue, Håvard.
Spatial Data Analysis with R-INLA with Some Extensions. Journal of Statistical Software 2015 ;Volum 63.(20) s. 1-31
NHH NTNU Untitled
 
44 Ferkingstad, Egil; Rue, Håvard.
Improving the INLA approach for approximate Bayesian inference for latent Gaussian models. 11th International Workshop on Objective Bayes Methodology; 2015-06-01 - 2015-06-05
NTNU UiT Untitled
 
45 Ferkingstad, Egil; Rue, Håvard.
Improving the INLA approach for approximate Bayesian inference for latent Gaussian models. Electronic Journal of Statistics 2015 ;Volum 9.(2) s. 2706-2731
NTNU Untitled
 
46 Ferkingstad, Egil; Rue, Håvard.
Improving the INLA approach for approximate Bayesian inference for latent Gaussian models. 2015 Joint Statistical Meetings; 2015-08-08 - 2015-08-13
NTNU UiT Untitled
 
47 Fuglstad, Geir-Arne.
Modelling Spatial Non-stationarity. : NTNU 2015 (ISBN 978-82-326-0920-8) 183 s.
NTNU UiT Untitled
 
48 Fuglstad, Geir-Arne; Simpson, Daniel Peter; Lindgren, Finn Kristian; Rue, Håvard.
Constructing Priors that Penalize the Complexity of Gaussian Random Fields. arXiv:1503.00256: arxiv 2015 21 s.
NTNU Untitled
 
49 Fuglstad, Geir-Arne; Simpson, Daniel Peter; Lindgren, Finn Kristian; Rue, Håvard.
Does non-stationary spatial data always require non-stationary random fields?. Spatial Statistics 2015 ;Volum 14. s. 505-531
UiT NTNU Untitled
 
50 Fuglstad, Geir-Arne; Simpson, Daniel Peter; Lindgren, Finn Kristian; Rue, Håvard.
Exploring a new class of non-stationary spatial Gaussian random fields with varying local anisotropy. Statistica sinica 2015 ;Volum 25. s. 115-133
NTNU Untitled
 
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