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Viser treff 1-50 av 202 << Forrige 1 2 3 4 5    Neste >>

2017
1 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
 
2 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
NTNU UiT Untitled
 
2016
3 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
 
4 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
 
5 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
 
6 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
 
7 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
NTNU UiT Untitled
 
8 Rue, Håvard.
Bayesian computing with INLA (12 lectures). Bayesian computing with INLA; a four day course; 2016-06-23 - 2016-06-28
NTNU Untitled
 
9 Rue, Håvard.
Penalising model component complexity: A principled practical approach to constructing priors. Department seminar; 2016-06-24 - 2016-06-24
NTNU Untitled
 
10 Rue, Håvard.
Penalising model component complexity: A principled practical approach to constructing priors. Department seminar; 2016-01-21 - 2016-01-21
NTNU UiT Untitled
 
11 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
 
12 Rue, Håvard.
Some recent developments in the R-INLA project. 13th Iranian Statistical Conference; 2016-08-23 - 2016-08-25
NTNU Untitled
 
13 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
 
14 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
 
15 Sørbye, Sigrunn Holbek; Rue, Håvard.
Penalised Complexity Priors for Autoregressive Processes. ISBA 2016 World Meeting; 2016-06-13 - 2016-06-17
NTNU UiT Untitled
 
16 Sørbye, Sigrunn Holbek; Rue, Håvard.
Penalised complexity priors for stationary autoregressive processes. : arXiv.org 2016 14 s. arXiv.org(1608.08941)
NTNU UiT Untitled
 
17 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
 
18 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
 
19 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
20 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
 
21 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
 
22 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
 
23 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
 
24 Fuglstad, Geir-Arne.
Modelling Spatial Non-stationarity. : NTNU 2015 (ISBN 978-82-326-0920-8) 183 s.
NTNU UiT Untitled
 
25 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
 
26 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
NTNU UiT Untitled
 
27 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
 
28 Fuglstad, Geir-Arne; Simpson, Daniel Peter; Lindgren, Finn Kristian; Rue, Håvard.
Interpretable prior for hyperparameters for {G}aussian random fields. arXiv:1503.00256: arxiv.org 2015 32 s.
NTNU UiT Untitled
 
29 Gómez-Rubio, Virgilio; Bivand, Roger; Rue, Håvard.
A new latent class to fit spatial econometrics models with Integrated Nested Laplace Approximations.. Procedia Environmental Sciences 2015 ;Volum 27. s. 116-118
NHH NTNU Untitled
 
30 Guo, Jingyi; Riebler, Andrea Ingeborg; Rue, Håvard.
Bayesian bivariate meta-analysis of diagnostic test studies with interpretable priors. arXiv:1512.06217: arXiv.og 2015 24 s.
NTNU Untitled
 
31 Guo, Jingyi; Riebler, Andrea Ingeborg; Rue, Håvard.
Making Bayesian bivariate meta-analysis practice friendly. : Proceedings of the 30th International Workshop on Statistical Modelling 2015 4 s.
NTNU Untitled
 
32 Guo, Jingyi; Riebler, Andrea; Rue, Håvard.
Bayesian bivariate meta-analysis using penalised complexity priors. amlgm2015; 2015-09-17 - 2015-09-18
NTNU Untitled
 
33 Guo, Jingyi; Riebler, Andrea; Rue, Håvard.
Bayesian bivariate meta-anlaysis with interpretable priors. OBayes15; 2015-06-01 - 2015-06-05
NTNU Untitled
 
34 Guo, Jingyi; Riebler, Andrea; Rue, Håvard.
Making Bayesian bivariate meta-analysis practice friendly. IWSM30; 2015-07-06 - 2015-07-10
NTNU Untitled
 
35 Krainski, Elias Teixeira; Lindgren, Finn Kristian; Simpson, Daniel Peter; Rue, Håvard.
Applying a non-separable spatio temporal model to a point referenced public health data. GEOMED 2015; 2015-09-10 - 2015-09-12
NTNU Untitled
 
36 Lindgren, Finn Kristian; Rue, Håvard.
Bayesian spatial modelling with R-INLA. Journal of Statistical Software 2015 ;Volum 63.(19) s. 1-25
NTNU Untitled
 
37 Muff, S; Riebler, Andrea; Held, Leonhard; Rue, Håvard; Saner, P.
Bayesian analysis of measurement error models using integrated nested Laplace approximations. Journal of the Royal Statistical Society, Series C: Applied Statistics 2015 ;Volum 64.(2) s. 231-252
NTNU Untitled
 
38 Quiroz, Z; Prates, Marcos; Rue, Håvard.
A Bayesian approach to estimate the biomass of anchovies in the coast of Peru. Biometrics 2015 ;Volum 71.(1) s. 208-217
NTNU Untitled
 
39 Riebler, Andrea Ingeborg; Simpson, Daniel Peter; Sørbye, Sigrunn Holbek; Lindgren, Finn; Fuglstad, Geir-Arne; Rue, Håvard.
Choosing sensible priors for Bayesian spatial analysis in epidemiology. GEOMED 2015; 2015-09-10 - 2015-09-12
NTNU UiT Untitled
 
40 Riebler, Andrea Ingeborg; Sørbye, Sigrunn Holbek; Simpson, Daniel Peter; Rue, Håvard.
An intuitive Bayesian spatial model for disease mapping that accounts for scaling. Seminar series; 2015-11-04 - 2015-11-04
NTNU UiT Untitled
 
41 Riebler, Andrea; Simpson, Daniel; Sørbye, Sigrunn Holbek; Lindgren, Finn; Fuglstad, Geir-Arne; Rue, Håvard.
Choosing sensible priors for Bayesian spatial analysis in epidemiology. GEOMED 2015; 2015-09-10 - 2015-09-12
NTNU UiT Untitled
 
42 Roos, M; Martins, Thiago Guerrera; Held, Leonhard; Rue, Håvard.
Sensitivity analysis for Bayesian hierarchical models. Bayesian Analysis 2015 ;Volum 10.(2) s. 321-349
NTNU Untitled
 
43 Rue, Håvard.
Four lectures on INLA. Workshop on Spatial statistics; 2015-01-29 - 2015-01-31
NTNU Untitled
 
44 Rue, Håvard.
Penalising model component complexity: A principled practical approach to constructing priors. Workshop on computational space-time statistics; 2015-10-04 - 2015-10-06
NTNU UiT Untitled
 
45 Rue, Håvard.
Penalising model component complexity: A principled practical approach to constructing priors. The 25th Conference and General Meeting of The International Environmetrics Society (TIES); 2015-11-22 - 2015-11-25
NTNU Untitled
 
46 Rue, Håvard.
Penalized Complexity Priors. Workshop on Spatial statistics; 2015-01-29 - 2015-01-31
NTNU UiT Untitled
 
47 Rue, Håvard.
Some recent progress in the R-INLA project. Department seminar; 2015-04-05 - 2015-04-05
NTNU UiT Untitled
 
48 Rue, Håvard.
4 lectures on Bayesian statistics and R-INLA. MODELS IN INVASION ECOLOGY: CHALLENGES AND APPLICATIONS - TRAINING SCHOOL; 2015-03-02 - 2015-03-04
NTNU UiT Untitled
 
49 Simpson, Daniel; Lindgren, Finn; Rue, Håvard.
Beyond the valley of the covariance function. Statistical Science 2015 ;Volum 30.(2) s. 164-166
NTNU Untitled
 
50 Ventrucci, Massimo; Rue, Håvard.
Penalized complexity priors for degrees of freedom in Bayesian P-splines. arXiv:1511.05748: arxiv 2015
NTNU Untitled
 
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