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2020 – today
- 2024
[j18]Susan C. Anyosa
, Jo Eidsvik, Dario Grana:
Evaluating geophysical monitoring strategies for a CO2 storage project. Comput. Geosci. 185: 105561 (2024)- 2023
- [j17]Gunhild Elisabeth Berget, Jo Eidsvik, Morten Omholt Alver, Tor Arne Johansen:
Dynamic stochastic modeling for adaptive sampling of environmental variables using an AUV. Auton. Robots 47(4): 483-502 (2023) - [j16]Susan C. Anyosa, Jo Eidsvik, Oscar Pizarro:
Adaptive spatial designs minimizing the integrated Bernoulli variance in spatial logistic regression models - with an application to benthic habitat mapping. Comput. Stat. Data Anal. 179: 107643 (2023) - [i3]Daesoo Lee, Oscar Ovanger, Jo Eidsvik, Erlend Aune, Jacob Skauvold, Ragnar Hauge:
Latent Diffusion Model for Conditional Reservoir Facies Generation. CoRR abs/2311.01968 (2023) - 2022
- [i2]Daesoo Lee, Erlend Aune, Nadège Langet, Jo Eidsvik:
VNIbCReg: VICReg with Neighboring-Invariance and better-Covariance Evaluated on Non-stationary Seismic Signal Time Series. CoRR abs/2204.02697 (2022) - 2020
- [j15]Hans Olav Vogt Myklebust, Jo Eidsvik, Iver Bakken Sperstad, Debarun Bhattacharjya:
Value of Information Analysis for Complex Simulator Models: Application to Wind Farm Maintenance. Decis. Anal. 17(2): 134-153 (2020) - [j14]Trygve Olav Fossum, John P. Ryan, Tapan Mukerji, Jo Eidsvik, Thom Maughan, Martin Ludvigsen, Kanna Rajan:
Compact models for adaptive sampling in marine robotics. Int. J. Robotics Res. 39(1) (2020) - [i1]Trygve Olav Fossum, Cédric Travelletti, Jo Eidsvik, David Ginsbourger, Kanna Rajan:
Learning excursion sets of vector-valued Gaussian random fields for autonomous ocean sampling. CoRR abs/2007.03722 (2020)
2010 – 2019
- 2019
- [j13]Glaucia Moreira Fragoso, Emlyn J. Davies, Jenny E. Ullgren, Renato Mendes, Geir Johnsen, Ingrid Ellingsen, Jo Eidsvik, Martin Ludvigsen, Kanna Rajan:
Toward adaptive robotic sampling of phytoplankton in the coastal ocean. Sci. Robotics 4(27) (2019) - [c2]Gunhild Elisabeth Berget, Jo Eidsvik, Morten Omholt Alver, Frédéric Py, Esten Ingar Grøtli, Tor Arne Johansen:
Adaptive Underwater Robotic Sampling of Dispersal Dynamics in the Coastal Ocean. ISRR 2019: 610-625 - 2018
- [j12]Trygve Olav Fossum, Jo Eidsvik, Ingrid Ellingsen, Morten Omholt Alver, Glaucia Moreira Fragoso, Geir Johnsen, Renato Mendes, Martin Ludvigsen, Kanna Rajan:
Information-driven robotic sampling in the coastal ocean. J. Field Robotics 35(7): 1101-1121 (2018) - [c1]Kristian Amundsen Ruud, Edmund Førland Brekke, Jo Eidsvik:
LIDAR Extended Object Tracking of a Maritime Vessel Using an Ellipsoidal Contour Model. SDF 2018: 1-6 - 2017
- [j11]Marie Lilleborge, Jo Eidsvik:
Efficient designs for Bayesian networks with sub-tree bounds. Stat. Comput. 27(2): 301-318 (2017) - 2016
- [j10]Javad Rezaie, Jo Eidsvik:
A skewed unscented Kalman filter. Int. J. Control 89(12): 2572-2583 (2016) - 2014
- [j9]Javad Rezaie, Jo Eidsvik:
Kalman filter variants in the closed skew normal setting. Comput. Stat. Data Anal. 75: 1-14 (2014) - [j8]Gabriele Martinelli, Jo Eidsvik:
Dynamic exploration designs for graphical models using clustering with applications to petroleum exploration. Knowl. Based Syst. 58: 113-126 (2014) - [j7]Erlend Aune, Daniel P. Simpson, Jo Eidsvik:
Parameter estimation in high dimensional Gaussian distributions. Stat. Comput. 24(2): 247-263 (2014) - 2013
- [j6]Debarun Bhattacharjya, Jo Eidsvik, Tapan Mukerji:
The Value of Information in Portfolio Problems with Dependent Projects. Decis. Anal. 10(4): 341-351 (2013) - [j5]Gabriele Martinelli, Jo Eidsvik, Ragnar Hauge:
Dynamic decision making for graphical models applied to oil exploration. Eur. J. Oper. Res. 230(3): 688-702 (2013) - [j4]Erlend Aune, Jo Eidsvik, Yvo Pokern:
Iterative numerical methods for sampling from high dimensional Gaussian distributions. Stat. Comput. 23(4): 501-521 (2013) - 2012
- [j3]Jo Eidsvik, Andrew O. Finley, Sudipto Banerjee, Håvard Rue:
Approximate Bayesian inference for large spatial datasets using predictive process models. Comput. Stat. Data Anal. 56(6): 1362-1380 (2012) - 2011
- [j2]Fatemeh Hosseini, Jo Eidsvik, Mohsen Mohammadzadeh:
Approximate Bayesian inference in spatial GLMM with skew normal latent variables. Comput. Stat. Data Anal. 55(4): 1791-1806 (2011)
2000 – 2009
- 2006
- [j1]Jo Eidsvik, Håkon Tjelmeland:
On directional Metropolis-Hastings algorithms. Stat. Comput. 16(1): 93-106 (2006)
Coauthor Index
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