2023
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1. |
Gryvill, Håkon; Grana, Dario; Tjelmeland, Håkon. An ensemble Kalman filter for a combined model of categorical and continuous variables. GAMES meeting; 2023-05-08 - 2023-05-09 NTNU
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2. |
Gryvill, Håkon; Tjelmeland, Håkon. A sparse matrix formulation of model-based ensemble Kalman filter. Petroleum Geostatistics 2023; 2023-11-27 - 2023-11-30 NTNU
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3. |
Gryvill, Håkon; Tjelmeland, Håkon. A sparse matrix formulation of model-based ensemble Kalman filter. Statistics and computing 2023 ;Volum 33.(63) s. 1-23 NTNU
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4. |
Gryvill, Håkon; Tjelmeland, Håkon. A sparse matrix formulation of the model-based ensemble Kalman filter. Nordstat 2023; 2023-06-19 - 2023-06-22 NTNU
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5. |
Hammer, Hugo Lewi; Riegler, Michael; Tjelmeland, Håkon. Approximate Bayesian Inference Based on Expected Evaluations. Bayesian Analysis 2023 s. - NTNU UiT OSLOMET
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2022
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6. |
Gryvill, Håkon; Tjelmeland, Håkon. A sparse matrix formulation of the model-based ensemble Kalman filter. EnKF workshop; 2022-05-30 - 2022-06-02 NTNU
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7. |
Loe, Margrethe Kvale; Tjelmeland, Håkon. Ensemble updating of categorical state vectors. Computational statistics (Zeitschrift) 2022 ;Volum 37. s. 2363-2397 NTNU
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8. |
Gryvill, Håkon; Tjelmeland, Håkon. A sparse matrix formulation of the model-based ensemble Kalman filter. GAMES meeting; 2022-05-09 - 2022-05-10 NTNU
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9. |
Tjelmeland, Håkon; Gryvill, Håkon; Loe, Margrethe Kvale. Model-based ensemble Kalman filter. 21st Annual Conference of the International Association for Mathematical Geosciences; 2022-08-30 - 2022-09-03 NTNU
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2021
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10. |
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 ;Volum 16.(1) s. - NTNU STO UiT
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11. |
Loe, Margrethe Kvale; Grana, Dario; Tjelmeland, Håkon. Geophysics-Based Fluid-Facies Predictions Using Ensemble Updating of Binary State Vectors. Mathematical Geosciences 2021 ;Volum 53. s. 325-347 NTNU
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12. |
Tjelmeland, Håkon; Loe, Margrethe Kvale. A generalisation of the updating step i EnKF. 2021 EnKF Workshop; 2021-06-07 - 2021-06-11 NTNU
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2020
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13. |
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. - SUS NTNU UiT
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14. |
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. - NTNU
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15. |
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 NTNU UiT
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2019
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16. |
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
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17. |
Luo, Xin; Tjelmeland, Håkon. A multiple-try Metropolis–Hastings algorithm with tailored proposals. Computational statistics (Zeitschrift) 2019 s. 1133-1109 NTNU
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18. |
Luo, Xin; Tjelmeland, Håkon. Prior specification for binary Markov mesh models. Statistics and computing 2019 ;Volum 29.(2) s. 367-389 NTNU
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19. |
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
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20. |
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
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21. |
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
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2018
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22. |
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
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2017
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23. |
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
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24. |
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
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25. |
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. NTNU
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2016
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26. |
Arnesen, Petter; Tjelmeland, Håkon. Prior specification of neighbourhood and interaction structure in binary Markov random fields. Statistics and computing 2016 s. - NTNU SINTEF
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27. |
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
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2015
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28. |
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
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29. |
Arnesen, Petter. Prior construction for discrete Markov models. : Skipnes kommunikasjon as 2015 (ISBN 978-82-326-1077-8) 200 s. NTNU
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30. |
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
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2013
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31. |
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
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2012
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32. |
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 UIS NR NTNU OSLOMET
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33. |
Helland, Inge Svein; Sæbø, Solve; Tjelmeland, Håkon. Near optimal prediction from relevant components. Scandinavian Journal of Statistics 2012 ;Volum 39.(4) s. 695-713 NMBU UiO NTNU
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34. |
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
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35. |
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
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36. |
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
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37. |
Tjelmeland, Håkon; Austad, Haakon. Exact and Approximate Recursive Calculations for Binary Markov Random Fields Defined on Graphs. Journal of Computational And Graphical Statistics (JCGS) 2012 ;Volum 21.(3) s. 758-780 NTNU
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38. |
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
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2011
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39. |
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
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40. |
Pfuhl, Gerit; Tjelmeland, Håkon; Biegler, Robert. Precision and Reliability in Animal Navigation. Bulletin of Mathematical Biology 2011 ;Volum 73.(5) s. 951-977 NTNU
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41. |
Tjelmeland, Håkon. An approximate forward-backward algorithm. Statistical Mechanics of Inference; 2011-09-05 - 2011-09-08 NTNU
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2010
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42. |
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
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43. |
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
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44. |
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
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2009
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45. |
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
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46. |
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
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47. |
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
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2008
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48. |
Hammer, Hugo Lewi; Tjelmeland, Håkon. Control variates for the Metropolis--Hastings algorithm. Scandinavian Journal of Statistics 2008 ;Volum 35. s. 400-414 OSLOMET NTNU
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49. |
Hammer, Hugo Lewi; Tjelmeland, Håkon. Control variates for the Metropolis-Hastings algorithm. Scandinavian Journal of Statistics 2008 ;Volum 35. s. 400-414 NTNU
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50. |
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
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