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2019
1 Loe, Margrethe Kvale; Tjelmeland, Håkon.
Ensemble Updating of Binary State Vectors by Maximising the Expected Number of Unchanged Components. Petroleum Geostatistics 2019; 2019-09-02 - 2019-09-06
NTNU Untitled
 
2 Luo, Xin; Tjelmeland, Håkon.
A multiple-try Metropolis–Hastings algorithm with tailored proposals. Computational statistics (Zeitschrift) 2019 s. 1133-1109
NTNU Untitled
 
3 Luo, Xin; Tjelmeland, Håkon.
Prior specification for binary Markov mesh models. Statistics and computing 2019 ;Volum 29.(2) s. 367-389
NTNU Untitled
 
4 Pfuhl, Gerit; Tjelmeland, Håkon.
Probabilistic reasoning in schizophrenia is volatile but not biased. Computational and cognitive neuroscience conference; 2019-09-13 - 2019-09-16
NTNU UiT Untitled
 
5 Tjelmeland, Håkon; Luo, Xin; Fjeldstad, Torstein Mæland.
A Bayesian model for lithology/fluid class prediction using a Markov mesh prior fitted from a training image. Geophysical Prospecting 2019 ;Volum 67.(3) s. 609-623
NTNU Untitled
 
6 Tjelmeland, Håkon; Luo, Xin; Fjeldstad, Torstein Mæland.
A Flexible Markov Mesh Prior for Lithology/fluid Class Prediction. Petroleum Geostatistics 2019; 2019-09-02 - 2019-09-06
NTNU Untitled
 
2018
7 Pfuhl, Gerit; Tjelmeland, Håkon.
On probability estimates and who is more aberrant - patients with Schizophrenia or Healthy Controls?. Brain Prize conference Neuroscience of Prediction; 2018-04-15 - 2018-04-18
NTNU UiT Untitled
 
2017
8 Kreis, Isabel Viola; Sandvik, Kristin; Tjelmeland, Håkon; Biegler, Robert; Pfuhl, Gerit.
Probabilistic inference in psychosis and autism. 5th National PhD Conference in Neuroscience; 2017-09-20 - 2017-09-22
NTNU UiT Untitled
 
9 Kreis, Isabel Viola; Tjelmeland, Håkon; Biegler, Robert; Tröbinger, Luzia Rosa; Pfuhl, Gerit.
Ignorance or awareness of changes measured in a probabilistic inference task. The Brain Prize Meeting 2017; 2017-10-30 - 2017-11-01
NTNU UiT Untitled
 
10 Langaas, Mette; Buan, Aslak Bakke; Rønning, Frode; Tjelmeland, Håkon; Skauvold, Jacob; Thaule, Marius.
Læringsressurser i grunnutdanningen i matematikk - kvalitet, tilgjengelighet og differensiering. Læring om læring 2017 ;Volum 1.
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2016
11 Arnesen, Petter; Tjelmeland, Håkon.
Prior specification of neighbourhood and interaction structure in binary Markov random fields. Statistics and computing 2016 s. -
NTNU SINTEF Untitled
 
12 Austad, Haakon; Tjelmeland, Håkon.
Approximate computations for binary Markov random fields and their use in Bayesian models. Statistics and computing 2016 s. 1-22
NTNU Untitled
 
2015
13 Arnesen, Petter; Tjelmeland, Håkon.
Fully Bayesian Binary Markov Random Field Models: Prior Specification and Posterior Simulation. Scandinavian Journal of Statistics 2015 ;Volum 42.(4) s. 967-987
NTNU Untitled
 
14 Arnesen, Petter.
Prior construction for discrete Markov models. : Skipnes kommunikasjon as 2015 (ISBN 978-82-326-1077-8) 200 s.
NTNU Untitled
 
15 Pfuhl, Gerit; Sandvik, Kristin; Biegler, Robert; Tjelmeland, Håkon.
Identifying the computational parameters gone awry in psychosis. Lecture Notes in Computer Science (LNCS) 2015 ;Volum 9250. s. 23-32
NTNU UiT Untitled
 
2013
16 Toftaker, Håkon; Tjelmeland, Håkon.
Construction of Binary Multi-grid Markov Random Field Prior Models from Training Images. Mathematical Geosciences 2013 ;Volum 45.(4) s. 383-409
NTNU Untitled
 
2012
17 Hammer, Hugo Lewi; Kolbjørnsen, Odd; Tjelmeland, Håkon; Buland, Arild.
Lithology and fluid prediction from prestack seismic data using a Bayesian model with Markov process prior. Geophysical Prospecting 2012 ;Volum 60.(3) s. 500-515
OSLOMET NR NTNU UIS Untitled
 
18 Helland, Inge Svein; Sæbø, Solve; Tjelmeland, Håkon.
Near optimal prediction from relevant components. Scandinavian Journal of Statistics 2012 ;Volum 39.(4) s. 695-713
NTNU UiO NMBU Untitled
 
19 Håkon M., Austad; Tjelmeland, Håkon.
Approximations and bounds for binary Markov random fields. Geostats 2012, Ninth International Geostatistics Congress; 2012-06-11 - 2012-06-15
NTNU Untitled
 
20 Håkon, Toftaker; Tjelmeland, Håkon.
Construction of binary multi-grid Markov random field models from training images. Geostats 2012, Ninth International Geostatistics Congress; 2012-06-11 - 2012-06-15
NTNU Untitled
 
21 Martinelli, Gabriele.
Petroleum exploration with Bayesian Networks - From prospect risk assessment to optimal exploration. Trondheim: NTNU 2012 (ISBN 978-82-471-3857-1) -1 s. Doktoravhandlinger ved NTNU(2012:273)
NR NTNU Untitled
 
22 Tjelmeland, Håkon; Austad, Haakon.
Exact and Approximate Recursive Calculations for Binary Markov Random Fields Defined on Graphs. Journal of Computational And Graphical Statistics 2012 ;Volum 21.(3) s. 758-780
NTNU Untitled
 
23 Tjelmeland, Håkon; Håkon, Toftaker.
On the construction of discrete distributions from training images. Geostats 2012, Ninth International Geostatistics Congress; 2012-06-11 - 2012-06-15
NTNU Untitled
 
2011
24 Hammer, Hugo Lewi; Tjelmeland, Håkon.
Approximate forward–backward algorithm for a switching linear Gaussian model. Computational Statistics & Data Analysis 2011 ;Volum 55.(1) s. 154-167
NTNU Untitled
 
25 Pfuhl, Gerit; Tjelmeland, Håkon; Biegler, Robert.
Precision and Reliability in Animal Navigation. Bulletin of Mathematical Biology 2011 ;Volum 73.(5) s. 951-977
NTNU Untitled
 
26 Tjelmeland, Håkon.
An approximate forward-backward algorithm. Statistical Mechanics of Inference; 2011-09-05 - 2011-09-08
NTNU Untitled
 
2010
27 Helland, Inge; Sæbø, Solve; Tjelmeland, Håkon.
Bayes PLS: Near optimal prediction from relevant components. International Biometric Conference; 2010-12-05 - 2010-12-10
NTNU UiO NMBU Untitled
 
28 Lødøen, Ole Petter; Tjelmeland, Håkon.
Bayesian calibration of hydrocarbon reservoir models using an approximate reservoir simulator in the prior specification. Statistical Modelling 2010 ;Volum 10.(1) s. 89-111
NTNU Untitled
 
29 Sæbø, Solve; Helland, Inge; Tjelmeland, Håkon.
Near optimal prediction from relevant components with Bayes PLS. Det 21. Norske kjemometrisymposium, 2010; 2010-03-08 - 2010-03-10
NTNU UiO NMBU Untitled
 
2009
30 Pfuhl, Gerit; Tjelmeland, Håkon; Molden, Sturla; Biegler, Robert.
Optimal cache search depends on precision of spatial memory and pilfering, but what if that knowledge is not perfect?. Animal Behaviour 2009 ;Volum 78.(4) s. 819-828
NTNU Untitled
 
31 Scharpf, R. B.; Tjelmeland, Håkon; Parmigiani, G.; Nobel, A.B..
A Bayesian model for cross-study differential gene expression. Journal of the American Statistical Association 2009 ;Volum 104.(488) s. 1295-1310
NTNU Untitled
 
32 Scharpf, R. B.; Tjelmeland, Håkon; Parmigiani, G.; Nobel, A.B..
Rejoinder: A Bayesian model for cross-study differential gene expression. Journal of the American Statistical Association 2009 ;Volum 104. s. 1318-1323
NTNU Untitled
 
2008
33 Hammer, Hugo Lewi; Tjelmeland, Håkon.
Control variates for the Metropolis--Hastings algorithm. Scandinavian Journal of Statistics 2008 ;Volum 35. s. 400-414
OSLOMET NTNU Untitled
 
34 Hammer, Hugo Lewi; Tjelmeland, Håkon.
Control variates for the Metropolis-Hastings algorithm. Scandinavian Journal of Statistics 2008 ;Volum 35. s. 400-414
NTNU Untitled
 
35 Rabben, Tor Erik; Tjelmeland, Håkon; Ursin, Bjørn.
Non-linear Bayesian joint inversion of seismic reflection coefficients. Geophysical Journal International 2008 ;Volum 173.(1) s. 265-280
NTNU Untitled
 
36 Shabalin, AA; Tjelmeland, Håkon; Fan, C; Perou, CM; Nobel, AB.
Merging two gene-expression studies via cross-platform normalization. Bioinformatics 2008 ;Volum 24.
NTNU Untitled
 
2007
37 Eftedal, Olav Sande; Tjelmeland, Håkon; Brubakk, Alf O.
Validation of decompression procedures based on detection of venous gas bubbles: a bayesian approach. Aviation, Space and Environmental Medicine 2007 ;Volum 78. s. 94-99
NTNU Untitled
 
38 Hammer, Hugo Lewi; Tjelmeland, Håkon.
Lithology/Fluid Prediction by Simulating from the Posterior of a Markov Chain Prior Bayesian Model. Petroleum Geostatistics; 2007-09-10 - 2007-09-14
NTNU Untitled
 
39 Lødøen, Ole Petter; Tjelmeland, Håkon.
Bayesian calibration of reservoir models using a coarse-scale reservoir simulator in the prior specification. Petroleum Geostatistics; 2007-09-10 - 2007-09-14
NTNU Untitled
 
40 Rabben, Tor Erik; Tjelmeland, Håkon; Ursin, Bjørn.
Nonlinear Bayesian joint inversion of seismic reflection coefficients. Petroleum Geostatistics 2007, Cascais, Portugal; 2007-09-10 - 2007-09-14
NTNU Untitled
 
41 Wu, YH; Tjelmeland, Håkon; West, M.
Bayesian CART: Prior specification and posterior simulation. Journal of Computational And Graphical Statistics 2007 ;Volum 16.
NTNU Untitled
 
2006
42 Eftedal, Olav Sande; Tjelmeland, Håkon; Brubakk, Alf O.
Bubble detection and Bayesian statistics for validation of decompression tables. 32nd Annual Meeting of the EUBS, Bergen, Norway, August 23.-26., 2006; 2006-08-23 - 2006-08-26
NTNU Untitled
 
43 Eidsvik, Jo; Tjelmeland, Håkon.
On directional Metropolis-Hastings algorithms. Statistics and computing 2006 ;Volum 16.(1) s. 93-106
NTNU Untitled
 
44 Tjelmeland, Håkon.
A Bayesian Model for Cross-Study Differential Gene Expression. seminar; 2006-12-08
NTNU Untitled
 
2005
45 Tjelmeland, Håkon; Eidsvik, Jo.
Directional Metropolis-Hastings updates for posteriors with nonlinear likelihoods. I: Geostatistics Banff 2004. Springer Publishing Company 2005 ISBN 1-4020-3515-2.
NTNU Untitled
 
2004
46 Tjelmeland, Håkon; Eidsvik, Jo.
On the use of local optimizations within Metropolis-Hastings updates. Journal of The Royal Statistical Society Series B-statistical Methodology 2004 ;Volum 66. s. 411-427
NTNU Untitled
 
2003
47 Tjelmeland, Håkon.
Directional Metropolis-Hastings algorithms. [Mangler data]; 2003-11-10
NTNU Untitled
 
48 Tjelmeland, Håkon.
Fitting Gaussian Markov random fields to Gaussian fields. [Mangler data]; 2003-10-03
NTNU Untitled
 
49 Tjelmeland, Håkon; Lund, Kjetill Vassmo.
Bayesian modelling of spatial compositional data. Journal of Applied Statistics 2003 ;Volum 30. s. 87-100
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2002
50 Rue, Håvard; Tjelmeland, Håkon.
Fitting Gaussian Markov random fields to Gaussian fields. Scandinavian Journal of Statistics 2002 s. 31-50
NTNU Untitled
 
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