Current Research Information SysTem In Norway

 English version

Logg inn
Om Cristin
Eksporter til

Viser treff 1-50 av 73 << Forrige 1 2    Neste >>

1 Brodtkorb, André R.; Brajard, Julien; Künsch, Hans R; Hanea, Remus Gabriel; Lye, Kjetil Olsen; Eidsvik, Jo.
Geilo Winter School in eScience on Learning from Data. Geilo Winter School in eScience; 2019-01-20 - 2019-01-25
2 Fossum, Trygve Olav; Fragoso, Glaucia Moreira; Davies, Emlyn John; Ullgren, Jenny; Mendes, Renato; Johnsen, Geir; Ellingsen, Ingrid H.; Eidsvik, Jo; Ludvigsen, Martin; Rajan, Kanna.
Toward adaptive robotic sampling of phytoplankton in the coastal ocean. Science robotics 2019 ;Volum 4:Eeaav3041.(27)
3 Skauvold, Jacob; Eidsvik, Jo.
Parametric spatial covariance models in the ensemble Kalman filter. Spatial Statistics 2019 ;Volum 29. s. 226-242
NTNU Untitled
4 Skauvold, Jacob; Eidsvik, Jo; van Leeuwen, Peter Jan; Amezcua, Javier.
A revised implicit equal-weights particle filter. Quarterly Journal of the Royal Meteorological Society 2019 ;Volum 145.(721) s. 1490-1502
NTNU Untitled
5 Berget, Gunhild Elisabeth; Fossum, Trygve Olav; Johansen, Tor Arne; Eidsvik, Jo; Rajan, Kanna.
Adaptive Sampling of Ocean Processes Using a Gaussian Proxy Model Onboard an AUV. 11th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles; 2018-09-10 - 2018-09-12
NTNU Untitled
6 Berget, Gunhild Elisabeth; Fossum, Trygve Olav; Johansen, Tor Arne; Eidsvik, Jo; Rajan, Kanna.
Adaptive Sampling of Ocean Processes Using an AUV with a Gaussian Proxy Model. IFAC-PapersOnLine 2018 ;Volum 51.(29) s. 238-243
NTNU Untitled
7 Eidsvik, Jo; Martinelli, Gabriele; Bhattacharjya, Debarun.
Sequential information gathering schemes for spatial risk and decision analysis applications. Stochastic environmental research and risk assessment (Print) 2018 ;Volum 32.(4) s. 1163-1177
NTNU Untitled
8 Fjeldstad, Torstein Mæland; Eidsvik, Jo.
Approximate Bayesian inference of model parameters in convolved hidden Markov models - with an application to seismic data. 2018 ISBA World Meeting; 2018-06-24 - 2018-06-29
NTNU Untitled
9 Fossum, Trygve Olav; Eidsvik, Jo; Ellingsen, Ingrid H.; Alver, Morten; Fragoso, Glaucia Moreira; Johnsen, Geir; Mendes, Renato; Ludvigsen, Martin; Rajan, Kanna.
Information-driven robotic sampling in the coastal ocean. Journal of Field Robotics 2018 ;Volum 35.(7) s. 1101-1121
10 Paglia, Jacopo; Eidsvik, Jo; Grøver, Arnt; Lothe, Ane Elisabet.
Statistical modeling for real-time pore pressure prediction from predrill analysis and well logs. Geophysics 2018 ;Volum 84.(2) s. ID1-ID12
11 Paglia, Jacopo; Eidsvik, Jo; Grøver, Arnt; Lothe, Ane Elisabet.
Statistical Modelling for Online Pore Pressure Prediction from Well Logs. 80th EAGE Conference & Exhibiton 2018; 2018-06-11 - 2018-06-14
12 Sajith Vezhapparambu, Veena; Eidsvik, Jo; Ellefmo, Steinar Løve.
Rock Classification Using Multivariate Analysis of Measurement While Drilling Data: Towards a Better Sampling Strategy. Minerals 2018 ;Volum 8.(9) s. 1-23
NTNU Untitled
13 Skauvold, Jacob; Eidsvik, Jo.
Data assimilation for a geological process model using the ensemble Kalman filter. Basin Research 2018 ;Volum 30.(4) s. 730-745
NTNU Untitled
14 Skauvold, Jacob.
Ensemble-based Data Assimilation Methods Applied to Geological Process Modeling. Trondheim: NTNU 2018 (ISBN 978-82-326-3598-6) 126 s.
NTNU Untitled
15 Eidsvik, Jo; Dutta, Geetartha; Mukerji, Tapan; Bhattacharjya, Debarun.
Simulation-Regression Approximations for Value of Information Analysis of Geophysical Data. Mathematical Geosciences 2017 ;Volum 49.(4) s. 467-491
NTNU Untitled
16 Evangelou, Evangelos; Eidsvik, Jo.
The value of information for correlated GLMs. Journal of Statistical Planning and Inference 2017 ;Volum 180. s. 30-48
NTNU Untitled
17 Paglia, Jacopo; Eidsvik, Jo.
Statistical modeling for online pore-pressure prediction and drilling window. The annual DrillWell conference; 2017-09-26 - 2017-09-27
NTNU Untitled
18 Ødegård, Heidi Liljeblad; Eidsvik, Jo; Fleten, Stein-Erik.
Value of information analysis of snow measurements for the scheduling of hydropower production. Energy Systems, Springer Verlag 2017 ;Volum 10.(1) s. 1-19
NTNU Untitled
19 Lilleborge, Marie.
Efficient Information Gathering in Discrete Bayesian Networks. : University of Oslo 2016 153 s. Series of dissertations submitted to the Faculty of Mathematics and Natural Sciences, University of Oslo.(No. 1796)
NR NTNU UiO Untitled
20 Parker, Ryan J; Reich, Brian J.; Eidsvik, Jo.
A Fused Lasso Approach to Nonstationary Spatial Covariance Estimation. Journal of Agricultural Biological and Environmental Statistics 2016 ;Volum 21.(3) s. 569-587
NTNU Untitled
21 Rezaie, Javad; Eidsvik, Jo.
A skewed unscented Kalman filter. International Journal of Control 2016 ;Volum 89.(12) s. 2572-2583
NTNU Untitled
22 Skauvold, Jacob; Eidsvik, Jo; Theune, Ulrich.
A parametric model for seismic wavelets-with estimation and uncertainty quantification. Geophysical Journal International 2016 ;Volum 205.(2) s. 796-809
NTNU Untitled
23 Eidsvik, Jo; Mukerji, Tapan; Bhattacharjya, Debarun.
Value of Information in the Earth Sciences. Cambridge University Press 2015 (ISBN 978-1-107-04026-7) 385 s.
NTNU Untitled
24 Gineste, Michael; Eidsvik, Jo.
Framework for Seismic Inversion of Full Waveform Data Using Sequential Filtering. Petroleum Geostatistics 2015; 2015-09-07 - 2015-09-11
NTNU Untitled
25 Lilleborge, Marie; Eidsvik, Jo.
Efficient designs for Bayesian networks with sub-tree bounds. Statistics and computing 2015 ;Volum 27.(2) s. 301-318
NR NTNU Untitled
26 Lilleborge, Marie; Eidsvik, Jo; Hauge, Ragnar.
Efficient Optimization of Exploration Drilling Campaigns with Convergent Information Bounds. Petroleum Geostatistics 2015; 2015-09-07 - 2015-09-11
NR NTNU Untitled
27 Lilleborge, Marie; Hauge, Ragnar; Eidsvik, Jo.
Information Gathering in Bayesian Networks Applied to Petroleum Prospecting. Mathematical Geosciences 2015 ;Volum 48.(3) s. 233-257
NR NTNU Untitled
28 Aune, Erlend; Simpson, Daniel Peter; Eidsvik, Jo.
Parameter estimation in high dimensional Gaussian distributions. Statistics and computing 2014 ;Volum 24.(2) s. 247-263
NTNU Untitled
29 Eidsvik, Jo; Shaby, BA; Reich, Brian J.; Wheeler, M; Niemi, J.
Estimation and prediction in spatial models with block composite likelihoods. Journal of Computational And Graphical Statistics 2014 ;Volum 23.(2) s. 295-315
NTNU Untitled
30 Lilleborge, Marie; Eidsvik, Jo; Hauge, Ragnar.
Efficient Information gathering in Bayesian Network models for Petroleum Prospecting. Stanford Center for Reservoir Forcasting Seminar; 2014-11-20 - 2014-11-20
NR NTNU Untitled
31 Lilleborge, Marie; Eidsvik, Jo; Hauge, Ragnar.
Information gathering in Bayesian Networks with a taste of almonds and petroleum. NTNU Statistics seminar; 2014-05-08 - 2014-05-08
NR NTNU Untitled
32 Lilleborge, Marie; Hauge, Ragnar; Eidsvik, Jo.
Information Gathering in Bayesian Networks with an Application to Petroleum Prospecting. 2014 Joint Statistical Meetings; 2014-08-02 - 2014-08-07
NR NTNU Untitled
33 Martinelli, Gabriele; Eidsvik, Jo.
Dynamic exploration designs for graphical models using clustering with applications to petroleum exploration. Knowledge-Based Systems 2014 ;Volum 58. s. 113-126
NTNU Untitled
34 Martinelli, Gabriele; Eidsvik, Jo; Hokstad, Ketil; Hauge, Ragnar.
Strategies for Petroleum Exploration on the Basis of Bayesian Networks: A Case Study. SPE Journal 2014 ;Volum 19.(4) s. 564-575
NR NTNU Untitled
35 Rezaie, Javad; Eidsvik, Jo.
Kalman filter variants in the closed skew normal setting. Computational Statistics & Data Analysis 2014 ;Volum 75. s. 1-14
NTNU Untitled
36 Rezaie, Javad; Eidsvik, Jo; Mukerji, Tapan.
Value of information analysis and Bayesian inversion for closed skew-normal distributions: Applications to seismic amplitude variation with offset data. Geophysics 2014 ;Volum 79.(4) s. R151-R163
NTNU Untitled
37 Aune, Erlend; Eidsvik, Jo; Pokern, Y.
Iterative numerical methods for sampling from high dimensional Gaussian distributions. Statistics and computing 2013 ;Volum 23.(4) s. 501-521
NTNU Untitled
38 Aune, Erlend; Eidsvik, Jo; Ursin, Bjørn.
Three-dimensional non-stationary and non-linear isotropic AVA inversion. Geophysical Journal International 2013 ;Volum 194.(2) s. 787-803
NTNU Untitled
39 Bhattacharjya, Debarun; Eidsvik, Jo; Mukerji, Tapan.
The value of information in portfolio problems with dependent projects. Decision Analysis 2013 ;Volum 10.(4) s. 341-351
NTNU Untitled
40 Eidsvik, Jo; Ellefmo, Steinar Løve.
The Value of Information in Mineral Exploration Within a Multi-Gaussian Framework. Mathematical Geosciences 2013 ;Volum 45.(7) s. 777-798
NTNU Untitled
41 Hauge, Ragnar; Stien, Marita; Drange-Espeland, Maren; Eidsvik, Jo; Martinelli, Gabriele.
Modeling Dependencies Between Oil Exploration Prospects with Bayesian Networks. EMS 2013; 2013-07-20 - 2013-07-25
NR NTNU Untitled
42 Lilleborge, Marie; Hauge, Ragnar; Eidsvik, Jo.
Measures of Information for Bayesian Networks. Det 17. norske statistikermøtet; 2013-06-11 - 2013-06-13
NR NTNU Untitled
43 Martinelli, Gabriele; Eidsvik, Jo; Hauge, Ragnar.
Dynamic decision making for graphical models applied to oil exploration. European Journal of Operational Research 2013 ;Volum 230.(3) s. 688-702
NR NTNU Untitled
44 Martinelli, Gabriele; Eidsvik, Jo; Sinding-Larsen, Richard; Tviberg, Sara; Mukerji, Tapan.
Building Bayesian networks from basin modeling scenarios for improved geological decision making. Petroleum Geoscience 2013 ;Volum 19.(3) s. 289-304
NTNU Untitled
45 Eidsvik, Jo; Finley, Andrew O; Banerjee, S; Rue, Håvard.
Approximate Bayesian inference for large spatial datasets using predictive process models. Computational Statistics & Data Analysis 2012 ;Volum 56.(6) s. 1362-1380
NTNU Untitled
46 Ellefmo, Steinar Løve; Eidsvik, Jo.
The value of imperfect borehole information in mineral resource evaluation. Geostat 2012; 2012-06-11 - 2012-06-15
NTNU Untitled
47 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
48 Martinelli, Gabriele; Eidsvik, Jo; Hokstad, Ketil; Hauge, Ragnar.
Strategies for petroleum exploration based on Bayesian Networks: a case study. I: SPE Annual Technical Conference and Exhibition, 8-10 October 2012, San Antonio, Texas, USA. Society of Petroleum Engineers 2012 ISBN 978-1-61399-213-5. s. -
NR NTNU Untitled
49 Martinelli, Gabriele; Tviberg, Sara; Eidsvik, Jo; Sinding-Larsen, Richard; Mukerji, Tapan.
Building Bayesian Networks from Basin Modeling scenarios for Decision Making under geologic uncertainty. 9th International Geostatistics Congress, Oslo; 2012-06-11 - 2012-06-15
NTNU Untitled
50 Rezaie, Javad; Eidsvik, Jo.
Shrinked (1-alpha) ensemble Kalman filter and alpha Gaussian mixture filter. Computational Geosciences 2012 ;Volum 16.(3) s. 837-852
NTNU Untitled
    Vis neste liste