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Viser treff 1-50 av 104 << Forrige 1 2 3    Neste >>

2021
1 Kreis, Isabel Viola; Biegler, Robert; Tjelmeland, Håkon; Mittner, Matthias; Reitan, Solveig Merete Klæbo; Pfuhl, Gerit.
Overestimation of volatility in schizophrenia and autism? A comparative study using a probabilistic reasoning task. PLOS ONE 2021
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2020
2 Hegelstad, Wenche; Kreis, Isabel Viola; Tjelmeland, Håkon; Pfuhl, Gerit.
Psychosis and Psychotic-Like Symptoms Affect Cognitive Abilities but Not Motivation in a Foraging Task. Frontiers in Psychology 2020 ;Volum 11. s. -
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3 Loe, Margrethe Kvale; Tjelmeland, Håkon.
Ensemble updating of binary state vectors by maximising the expected number of unchanged components. Scandinavian Journal of Statistics 2020 s. -
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4 Pfuhl, Gerit; Tjelmeland, Håkon.
Who's more Bayesian? Belief updating and no conservatism bias in Schizophrenia. The 53rd Annual Meeting of the Society for Mathematical Psychology (MathPsych2020); 2020-07-20 - 2020-08-01
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2019
5 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
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6 Luo, Xin; Tjelmeland, Håkon.
A multiple-try Metropolis–Hastings algorithm with tailored proposals. Computational statistics (Zeitschrift) 2019 s. 1133-1109
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7 Luo, Xin; Tjelmeland, Håkon.
Prior specification for binary Markov mesh models. Statistics and computing 2019 ;Volum 29.(2) s. 367-389
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8 Pfuhl, Gerit; Tjelmeland, Håkon.
Probabilistic reasoning in schizophrenia is volatile but not biased. Computational and cognitive neuroscience conference; 2019-09-13 - 2019-09-16
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9 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
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10 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
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2018
11 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
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2017
12 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
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13 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
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14 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
15 Arnesen, Petter; Tjelmeland, Håkon.
Prior specification of neighbourhood and interaction structure in binary Markov random fields. Statistics and computing 2016 s. -
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16 Austad, Haakon; Tjelmeland, Håkon.
Approximate computations for binary Markov random fields and their use in Bayesian models. Statistics and computing 2016 s. 1-22
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2015
17 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
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18 Arnesen, Petter.
Prior construction for discrete Markov models. : Skipnes kommunikasjon as 2015 (ISBN 978-82-326-1077-8) 200 s.
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19 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
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2013
20 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
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2012
21 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
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22 Helland, Inge Svein; Sæbø, Solve; Tjelmeland, Håkon.
Near optimal prediction from relevant components. Scandinavian Journal of Statistics 2012 ;Volum 39.(4) s. 695-713
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23 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
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24 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
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25 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)
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26 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
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27 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
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2011
28 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
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29 Pfuhl, Gerit; Tjelmeland, Håkon; Biegler, Robert.
Precision and Reliability in Animal Navigation. Bulletin of Mathematical Biology 2011 ;Volum 73.(5) s. 951-977
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30 Tjelmeland, Håkon.
An approximate forward-backward algorithm. Statistical Mechanics of Inference; 2011-09-05 - 2011-09-08
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2010
31 Helland, Inge; Sæbø, Solve; Tjelmeland, Håkon.
Bayes PLS: Near optimal prediction from relevant components. International Biometric Conference; 2010-12-05 - 2010-12-10
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32 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
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33 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
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2009
34 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
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35 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
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36 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
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2008
37 Hammer, Hugo Lewi; Tjelmeland, Håkon.
Control variates for the Metropolis--Hastings algorithm. Scandinavian Journal of Statistics 2008 ;Volum 35. s. 400-414
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38 Hammer, Hugo Lewi; Tjelmeland, Håkon.
Control variates for the Metropolis-Hastings algorithm. Scandinavian Journal of Statistics 2008 ;Volum 35. s. 400-414
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39 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
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40 Shabalin, AA; Tjelmeland, Håkon; Fan, C; Perou, CM; Nobel, AB.
Merging two gene-expression studies via cross-platform normalization. Bioinformatics 2008 ;Volum 24.
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2007
41 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
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42 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
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43 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
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44 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
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45 Wu, YH; Tjelmeland, Håkon; West, M.
Bayesian CART: Prior specification and posterior simulation. Journal of Computational And Graphical Statistics 2007 ;Volum 16.
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2006
46 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
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47 Eidsvik, Jo; Tjelmeland, Håkon.
On directional Metropolis-Hastings algorithms. Statistics and computing 2006 ;Volum 16.(1) s. 93-106
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48 Tjelmeland, Håkon.
A Bayesian Model for Cross-Study Differential Gene Expression. seminar; 2006-12-08
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2005
49 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.
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2004
50 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
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