Geir Olve Storvik

Aliaksandr Hubin; Geir Olve Storvik; Sparse Bayesian Neural Networks: Bridging Model and Parameter Uncertainty through Scalable Variational Inference Mathematics, vol. 12, pp. 28 , (ISSN 2227-7390 2227-7390 ), doi: https://doi.org/10.3390/math12060788 , 2024. Scientific article

EMJMCMC: Evolutionary Mode Jumping Markov Chain Monte Carlo Expert Toolbox , 2024. Software

Lars Skaaret-Lund; Geir Olve Storvik; Aliaksandr Hubin; Sparsifying Bayesian neural networks with latent binary variables and normalizing flows Transactions on Machine Learning Research (TMLR), (ISSN 2835-8856 ), , 2024. Scientific article

Aliaksandr Hubin; Geir Olve Storvik; Florian Frommlet; Jon Lachmann; A subsampling MCMC approach for Bayesian model selection and model averaging 2024. Scientific lecture

Geir Olve Storvik; Alfonso Diz-Lois Palomares; Solveig Engebretsen; Gunnar Øyvind Isaksson Rø; Kenth Engø-Monsen; et al. A sequential Monte Carlo approach to estimate a time-varying reproduction number in infectious disease models: the Covid-19 case Journal of the Royal Statistical Society: Series A (Statistics in Society), vol. 186, pp. 616 632 , (ISSN 0964-1998 1467-985X ), doi: https://doi.org/10.1093/jrsssa/qnad043 , 2023. Scientific article

Geir Olve Storvik; Alfonso Diz-Lois Palomares; Sequential Monte Carlo for infectious disease models - the Covid-19 case 2023. Scientific lecture

Jon Lachmann; Geir Olve Storvik; Florian Frommlet; Aliaksandr Hubin; A subsampling approach for Bayesian model selection International Journal of Approximate Reasoning, pp. 33 63 30 , doi: https://doi.org/10.1016/j.ijar.2022.08.018 , 2022. Scientific article

Aliaksandr Hubin; Geir Olve Storvik; Variational Bayes for inference on model and parameter uncertainty in Bayesian neural networks , 2022. Scientific lecture

Aliaksandr Hubin; Geir Olve Storvik; Variational Inference for Bayesian Neural Networks under Model and Parameter Uncertainty 2022. Poster

Jon Lachmann; Geir Olve Storvik; Florian Frommlet; Aliaksandr Hubin; A subsampling approach for Bayesian model selection 2022. Poster

Aliaksandr Hubin; Geir Storvik; Florian Frommlet; Flexible Bayesian Nonlinear Model Configuration The journal of artificial intelligence research, vol. 72, pp. 901 942 41 , (ISSN 1076-9757 1943-5037 ), doi: https://doi.org/10.1613/JAIR.1.13047 , 2021. Scientific article

Aliaksandr Hubin; Florian Frommlet; Geir Olve Storvik; Reversible Genetically Modified MCMCs , 2021. Scientific lecture

Aliaksandr Hubin; Geir Olve Storvik; Variational Inference for Bayesian Neural Networks under Model and Parameter Uncertainty , 2021. Scientific lecture

Aliaksandr Hubin; Geir Olve Storvik; Variational Bayes for inference on model and parameter uncertainty in Bayesian neural networks , 2021. Scientific lecture

Geir Olve Storvik; Bayesian Approaches to Neural Networks 2021. Lecture

Aliaksandr Hubin; Geir Olve Storvik; Paul Eivind Grini; Melinka Alonso Butenko; A Bayesian binomial regression model with latent gaussian processes for modelling DNA methylation Austrian Journal of Statistics, vol. 49, pp. 46 56 11 , (ISSN 1026-597X ), doi: https://doi.org/10.17713/ajs.v49i4.1124 , 2020. Scientific article

Aliaksandr Hubin; Geir Olve Storvik; Florian Frommlet; Rejoinder for the discussion of the paper "A Novel Algorithmic Approach to Bayesian Logic Regression" Bayesian Analysis, vol. 15, pp. 312 333 , (ISSN 1936-0975 1931-6690 ), doi: https://doi.org/10.1214/18-ba1141 , 2020. Short communication

Aliaksandr Hubin; Geir Olve Storvik; Florian Frommlet; A novel algorithmic approach to Bayesian Logic Regression , 2020. Scientific lecture

Aliaksandr Hubin; Geir Olve Storvik; Florian Frommlet; A Novel Algorithmic Approach to Bayesian Logic Regression (with Discussion) Bayesian Analysis, vol. 15, pp. 263 333 , (ISSN 1936-0975 1931-6690 ), 2020. Scientific article

Aliaksandr Hubin; Geir Olve Storvik; Combining Model and Parameter Uncertainty in Bayesian Neural Networks 2019. Lecture

Aliaksandr Hubin; Geir Olve Storvik; Paul Eivind Grini; Melinka Alonso Butenko; Bayesian binomial regression model with a latent Gaussian field for analysis of epigenetic data 2019. Lecture

Aliaksandr Hubin; Geir Olve Storvik; Combining Model and Parameter Uncertainty in Bayesian Neural Networks 2019. Lecture

Aliaksandr Hubin; Geir Olve Storvik; Paul Eivind Grini; Melinka Alonso Butenko; Bayesian binomial regression model with a latent Gaussian field for analysis of epigenetic data pp. 167 171 5 , , 2019. Scientific chapter / article / conference article

Aliaksandr Hubin; Geir Olve Storvik; Combining Model and Parameter Uncertainty in Bayesian Neural Networks , 2019. Scientific lecture

Geir Olve Storvik; Aliaksandr Hubin; Combining model and parameter uncertainty in Bayesian neural networks 2019. Scientific lecture

Aliaksandr Hubin; Geir Olve Storvik; Combining Model and Parameter Uncertainty in Bayesian Neural Networks , 2019. Lecture popular

Aliaksandr Hubin; Geir Olve Storvik; Combining Model and Parameter Uncertainty in Bayesian Neural Networks , 2019. Lecture popular

Aliaksandr Hubin; Geir Olve Storvik; Florian Frommlet; Deep Bayesian regression models 2018. Poster

Aliaksandr Hubin; Geir Olve Storvik; Florian Frommlet; A Novel Algorithmic Approach to Bayesian Logic Regression Bayesian Analysis, vol. 15, pp. 263 311 , (ISSN 1936-0975 1931-6690 ), doi: https://doi.org/10.1214/18-BA1141 , 2018. Scientific article

Aliaksandr Hubin; Geir Olve Storvik; Florian Frommlet; Deep Bayesian regression models 2018. Scientific lecture

Olav Nikolai Breivik; Geir Olve Storvik; Kjell Harald Nedreaas; Latent Gaussian models to predict historical bycatch in commercial fishery Fisheries Research, pp. 62 72 , doi: https://doi.org/10.1016/j.fishres.2016.09.033 , 2017. Scientific article

Geir Olve Storvik; Anders Løland; Ola Martin Lykkja; Jon Glenn Omholt Gjevestad; SAVE – tracking vehicle movements for toll object detection using particle filter 2016. Report

Hanne Rognebakke; David Hirst; Sondre Aanes; Geir Olve Storvik; Catch-at-age - Version 4.0: Technical Report 2016. Report

Olav Nikolai Breivik; Geir Olve Storvik; Kjell Harald Nedreaas; Latent gaussian models to decide on spatial closures for bycatch management in the barents sea shrimp fishery Canadian Journal of Fisheries and Aquatic Sciences, pp. 1271 1280 , doi: https://doi.org/10.1139/cjfas-2015-0322 , 2016. Scientific article

Geir Olve Storvik; Sondre Aanes; Peter Nyangweso Maisha; Estimation of fish abundance and demography in the Barents sea 2015. Scientific lecture

Peter Nyangweso Maisha; Geir Olve Storvik; Sondre Aanes; A State-Space Model for Abundance Estimation from Bottom Trawl Data with Applications to Norwegian Winter Survey , 2015. Report

Reinaldo A. Gomes Marques; Geir Olve Storvik; Reweighting Schemes Based on Particle Methods pp. 73 76 , doi: https://doi.org/10.1007/978-3-319-02084-6_14 , 2014. Scientific chapter / article / conference article

David Hirst; Geir Olve Storvik; Hanne Rognebakke; Magne Aldrin; Sondre Aanes; et al. A Bayesian modelling framework for the estimation of catch-at-age of commercially harvested fish species Canadian journal of fisheries and aquatic sciences. Supplem ent = Journ al canadien des sciences halieutiques et aquati qu, vol. 69, pp. 2064 2076 , (ISSN 0714-7937 ), doi: https://doi.org/10.1139/CJFAS-2012-0075 , 2012. Scientific article

Magne Aldrin; Bjørnar Tumanjan Mortensen; Geir Olve Storvik; Kjell Nedreaas; Asgeir Aglen; et al. Improving management decisions by predicting fish bycatch in the Barents Sea shrimp fishery ICES Journal of Marine Science, vol. 69, pp. 64 74 , (ISSN 1054-3139 1095-9289 ), doi: https://doi.org/10.1093/icesjms/fsr172 , 2012. Scientific article

Hanne Therese Wist Rognebakke; David Hirst; Magne Aldrin; Geir Storvik; Modelling catch at age for multiple stock 2011. Scientific lecture

Hanne Rognebakke; David Hirst; Geir Storvik; Magne Aldrin; Catch-at-age for multiple stocks: Modelling Skrei and Coastal Cod simultaneously 2011. Report

Hanne Therese Wist Rognebakke; David Hirst; Geir Olve Storvik; Catch-at-age - Version 2.0: Technical Report 2011. Report

Geir Olve Storvik; Tilfeldig! Neppe? , 2011. Media interview

Jaime Otero Villar; Thorulfur Antonsson; John Armstrong; Fridthjofur Arnason; Jo Vegar Arnekleiv; et al. Environmental effects on ocean entry of Atlantic salmon (Salmo salar) smolt across its range of distribution 2010. Poster

Jaime Otero Villar; Arne Johan Jensen; Jan Henning L'Abée-Lund; Nils Christian Stenseth; Geir Olve Storvik; et al. Contemporary ocean warming and freshwater conditions contribute to delay the completion of maturation in Atlantic salmon throughout the Norwegian range of distribution 2010. Scientific lecture

Gunnhildur Högnadóttir Steinbakk; Geir Olve Storvik; Posterior Predictive p-values in Bayesian Hierarchical Models Scandinavian Journal of Statistics, vol. 36, pp. 320 336 17 , (ISSN 0303-6898 1467-9469 ), doi: https://doi.org/10.1111/j.1467-9469.2008.00630.x , 2009. Scientific article

Bård Storvik; Geir Olve Storvik; Roger Fjørtoft; On the Combination of Multisensor Data Using Meta-Gaussian Distributions IEEE Transactions on Geoscience and Remote Sensing, vol. 47, pp. 2372 2379 8 , (ISSN 0196-2892 1558-0644 ), doi: https://doi.org/10.1109/TGRS.2009.2012699 , 2009. Scientific article

David Hirst; Geir Olve Storvik; Hanne Rognebakke; Magne Aldrin; A Bayesian hierarchical modelling approach to estimating landings- and discards-at-age , 2009. Scientific lecture

Bård Storvik; Geir Storvik; Roger Sverre Fjørtoft; On the combination of correlated images using meta-Gaussian distributions Ukjent, 2008. Scientific article

Geir Olve Storvik; Thore Egeland; The DNA database search controversy revisited: bridging the Bayesian-Frequentist gap Biometrics, vol. 63, pp. 922 925 4 , (ISSN 0006-341X 1541-0420 ), doi: https://doi.org/10.1111/j.1541-0420.2007.00751.x , 2007. Scientific article

Dag Øystein Hjermann; Arne Melsom; Gjert Endre Dingsør; Joël M. Durant; Anne Maria Eikeset; et al. Fish and oil in the Lofoten-Barents Sea system: synoptic review of the effect of oil spills on fish populations Marine Ecology Progress Series, vol. 339, pp. 283 299 17 , (ISSN 0171-8630 1616-1599 ), 2007. Scientific article

David Hirst; Hanne Therese Wist Rognebakke; Geir Olve Storvik; Magne Aldrin; Implementing the catch-at-age program for FRS Aberdeen 2007. Report

Ingunn Tvete; Geir Olve Storvik; Bent Natvig; Modelling pollock egg counts from the western Gulf of Alaska by a zero-inflated Bayesian hierarchical space-time modedel , 2006. Report

Ingunn Tvete; Geir Olve Storvik; Modelling Pollock egg counts from the western Gulf of Alaska by a zero-inflated Bayesian hierarchical space-time model 2006. Poster

David Hirst; Geir Olve Storvik; Magne Tommy Aldrin; Sondre Aanes; Ragnar Bang Huseby; Estimating catch-at-age by combining data from different sources Canadian Journal of Fisheries and Aquatic Sciences, vol. 62, (ISSN 0706-652X 1205-7533 ), doi: https://doi.org/10.1139/f05-026 , 2005. Scientific article

Geir Olve Storvik; Roger Sverre Fjørtoft; Anne H S Solberg; A Bayesian approach to classification of multi-scale remote sensing data IEEE Transactions on Geoscience and Remote Sensing, vol. 43, pp. 539 547 , (ISSN 0196-2892 1558-0644 ), doi: https://doi.org/10.1109/TGRS.2004.841395 , 2005. Scientific article

Geir Olve Storvik; Thore Egeland; Identification of DNA profiles from mixture samples 2005. Scientific lecture

Geir Olve Storvik; Modell-evaluering i Bayesianske modeller 2005. Scientific lecture

Geir Olve Storvik; Evaluation of evolutionary models in phylogenetic inferences 2005. Scientific lecture

Geir Olve Storvik; Bayesian assessment of Bowhead whales 2005. Scientific lecture

Geir Storvik; Hvorfor Data + Data = Sant - Fra telling av fisk til DNA-profiler av voldsmenn 2005. Lecture popular

David Hirst; Geir Olve Storvik; Magne Aldrin; Sondre Aanes; Bayesian estimation of catc-at-age using data from several sources 2005. Report

David Hirst; S Aanes; Geir Olve Storvik; Ragnar Bang Huseby; Ingunn Tvete; Estimating catch at age from market sampling data by using a Bayesian hierarchical model The Journal of the Royal Statistical Society, Series C (Applied Statistics), vol. 53, pp. 1 14 , (ISSN 0035-9254 1467-9876 ), doi: https://doi.org/10.1111/j.1467-9876.2004.00422 , 2004. Scientific article

Magne Aldrin; Ragnar Bang Huseby; Gudmund Høst; Anders Løland; Geir Olve Storvik; Spatial-Temporal Uncertainty for Survey-Based Abundance Estimates 2004. Report

David Hirst; Geir Olve Storvik; Anne Randi Syversveen; Anne Randi Syversveen; A hierarchical modelling approach to combining environmental data at different resolutions The Journal of the Royal Statistical Society, Series C (Applied Statistics), vol. 52, pp. 377 390 , (ISSN 0035-9254 1467-9876 ), 2003. Scientific article

Bård Storvik; Geir Storvik; Roger Fjørtoft; Joint distributions for correlated radar images Ukjent, , 2003. Scientific article

David Hirst; Geir Storvik; Estimating Critical load exceedance by combining the EMEP model with data from measurement stations Ukjent, vol. 310, pp. 163 170 8 , 2003. Scientific article

Bård Storvik; Geir Olve Storvik; Roger Fjørtoft; Joint distributions for multi-temporal series of radar images , 2003. Scientific lecture

Bård Storvik; Geir Olve Storvik; Roger Sverre Fjørtoft; Joint distribution for correlated radar images 2003. Scientific lecture

Geir Olve Storvik; Roger Sverre Fjørtoft; Anne H S Solberg; Parameter estimation and classification of multi-scale remote sensing data , 2003. Scientific lecture

David Hirst; Geir Storvik; Anne Randi Syversveen; A hierarchical modelling approach to combining environmental data at different scales 2003. Scientific lecture

Bård Storvik; Geir Storvik; Roger Sverre Fjørtoft; Joint distribution of correlated radar images , 2003. Report

Geir Dahl; Geir Olve Storvik; Alice Fadnes; Gustav Dahl; A. Fadnes; Large-scale integer programs in image analysis Operations Research, vol. 50, pp. 490 500 , (ISSN 0030-364X 1526-5463 ), 2002. Scientific article

Geir Storvik; Arnoldo Frigessi; David Hirst; Space-time Gaussian fields and their time-autoregressive representation Statistical Modelling, vol. 2002, pp. 139 161 23 , (ISSN 1471-082X 1477-0342 ), 2002. Scientific article

Geir Olve Storvik; Gibbs sampling pp. 899 905 , 2002. Lexical import

Anne H S Solberg; Geir Olve Storvik; Roger Sverre Fjørtoft; A Comparison of Criteria for Decision Fusion and Parameter Estimation in Statistical Multisensor Image Classification 2002. Scientific lecture

Roger Sverre Fjørtoft; Anne H S Solberg; Geir Olve Storvik; A new approach to statistical multisensor image classification 2002. Scientific lecture

Line Eikvil; Geir Olve Storvik; Segmentation of crate contours 2002. Report

Geir Olve Storvik; Roger Fjørtoft; Anne H S Solberg; Integration of multisource image data at different resolutions and time points. A mathematical framework for EOtools , 2002. Report

Geir Olve Storvik; Arnoldo Frigessi; David Hirst; Stationary Space Time Gaussian Fields and their time autoregressive representation Statistical Modelling, pp. 139 161 , 2002. Scientific article

Erik Bølviken; Geir Olve Storvik; Deterministic and stochastic particle filters in state space models pp. 97 116 , , 2001. Scientific chapter / article / conference article

David Hirst; Ingunn Tvete; Geir Olve Storvik; Sondre Aanes; Estimating catch-at-age from market sampling data using a Bayesian hierarchical model 2001. Scientific lecture

David Hirst; Ingunn Tvete; Geir Olve Storvik; Sondre Aanes; Estimating catch at age from market sampling data using a Bayesian Hierarchical model 2001. Report

Geir Storvik; Geir Dahl; Lagrangian based methods for finding {MAP} solutions for {MRF} models IEEE Transactions on Image Processing, vol. 9, pp. 469 479 11 , (ISSN 1057-7149 1941-0042 ), 2000. Scientific article

Geir Olve Storvik; Structural Modeling for Spatial and Spatio-temporal processes 2000. Scientific lecture

Thore Egeland; Geir Olve Storvik; Tid til felles stamfar 2000. Scientific lecture

Geir Storvik; Some further topics on Monte Carlo methods for dynamic Bayesian problems 2000. Scientific lecture

Ragnar Bang Huseby; Geir Olve Storvik; Ragnar Bang Huseby; Recognition of pipes using cross-profile information: A feasibility study 2000. Report

Anne H S Solberg; Geir Olve Storvik; Rune Solberg; Espen Volden; Automatic detection of oil spills in ERS SAR images IEEE Transactions on Geoscience and Remote Sensing, vol. 37, pp. 1916 1924 , (ISSN 0196-2892 1558-0644 ), doi: https://doi.org/10.1109/36.774704 , 1999. Scientific article

Geir Storvik; Tidsrekkeanalyse 1999. Scientific lecture

Anne H. Schistad Solberg; Marit Holden; Geir Storvik; André Teigland; Johan Møller-Holst; Seismic image analysis: 3D texture attributes and classification - part III 1998. Report

Anne H S Solberg; Geir Olve Storvik; André Teigland; Johan Møller-Holst; Anker M. Berge; et al. Seismic image analysis: A pilot study for investigating the relevance of using image analysis techniques on seismic data 1997. Report

Marit Holden; Anne H. Schistad Solberg; Geir Storvik; André Teigland; Johan Møller-Holst; et al. Seismic image analysis: 3D texture attributes and classification - part II 1997. Report

Bjørn Gunnar Tjetland; Rune Solberg; André Teigland; Geir Storvik; Mari Thune; et al. Formation Evaluation Workstation, FEW, Stage 4, Final report on research and development 1996 1997. Report

Anne H. Schistad Solberg; Espen Volden; Geir Storvik; Slick signature screening: Algorithm improvement 1997. Report

Geir Olve Storvik; Bayesian Surface Reconstruction from Noisy Images , 1996. Scientific lecture

Petter F. Mostad; Thore Egeland; Nils Lid Hjort; Geir Storvik; Uncertainties of reservoir parameters in a Bayesian framework 1996. Report

Anne H S Solberg; Vidar Bosnes; Geir Olve Storvik; Vidar Bosnes; Tissue classification in MR images based on a mixed pixel model 1995. Scientific lecture

Geir Storvik; Kjersti Aas; André Teigland; Pål Larsson; Recognition of spikes in EEG-signals: Further experimentations with the Hidden Markov Chain model 1995. Report

Erik Bølviken; Geir Storvik; Gutorm Thomas Høgåsen; Pål Gunnar Larsson; Textural segmentation in 1D through sequences of double stochastic segments 1995. Report

Geir Olve Storvik; A Bayesian approach to dynamic contours through stochastic sampling and simulated annealing IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 16, pp. 976 986 , (ISSN 0162-8828 1939-3539 ), 1994. Scientific article

Anne H. Schistad Solberg; Vidar Bosnes; Geir Storvik; Tissue classification in MR images based on a mixed pixel model Ukjent, 1994. Scientific article

Geir Olve Storvik; Recognition of spikes in EEG patterns using hidden Markov chains 1994. Scientific lecture

Geir Olve Storvik; Erik Bølviken; Anne H S Solberg; Hidden Markov Chains for recognition of structures in time series 1994. Report

Geir Storvik; Volume-calculations in MR-images of the brain Ukjent, 1993. Scientific article

Geir Storvik; Arvid Lundervold; Segmentation of brain parenchyma and CSF in multispectral MR images of the head Ukjent, 1993. Scientific article

Marit Holden; Line Eikvil; Geir Storvik; Methods for updating of model parameters applied within the area of symbol recognition Ukjent, 1993. Scientific article

Geir Storvik; Data reduction by separation of signal and noise components for multivariate spatial images Journal of Applied Statistics, vol. 20, pp. 127 136 10 , (ISSN 0266-4763 1360-0532 ), 1993. Scientific article

Marit Holden; Line Eikvil; Geir Olve Storvik; Methods for updating of model parameters applied within the area of symbol recognition 1993. Scientific lecture

Geir Storvik; Statistical analysis of multispectral MR images from the brain 1993. Scientific lecture

Geir Storvik; Statistiske metoder i medisinsk bildebehandling 1993. Scientific lecture

Geir Olve Storvik; Thore Egeland; Lars Holden; Håkon Tjelmeland; Markov Chain simulations for analysis of marked point processes 1993. Report

Vidar Bosnes; Anne H S Solberg; Geir Olve Storvik; Vidar Bosnes; Classification of mixed pixels 1993. Report

Marit Holden; Kjersti Aas; Arvid Lundervold; Otto Milvang; Geir Storvik; et al. Assessment of tissue perfusion and characterization of lesions in dynamical MRI using contrast agents and statistical analysis - methodological considerations and clinical applications 1993. Report

Geir Storvik; Arvid Lundervold; Thermography in combination with image analysis and pattern recognition techniques as a diagnostic tool after whiplash accident/injury - A feasibility study based on a small sample of patients and healthy volunteers 1993. Report

Geir Storvik; Arvid Lundervold; Marit Holden; George Farrants; Diagnostic evaluation of contrast agents in medical imaging - proposals towards quantitative assessment 1993. Report

Geir Storvik; Evaluering av kontrastmidler ved hjelp av bildebehandling 1993. Report

Geir Storvik; Paul Switzer; Space-time modeling of simply connected objects: An application to detection of left ventricular cardiac boundaries from ultrasound images Ukjent, 1992. Scientific article

Ragnar Bang Huseby; Gutorm Thomas Høgåsen; Geir Olve Storvik; Kjersti Aas; Combining range and intensity data with a hidden Markov model 1992. Scientific lecture

Ragnar Bang Huseby; Gutorm Thomas Høgåsen; Geir Olve Storvik; Kjersti Aas; Combining range and intensity data with a hidden Markov model 1992. Scientific lecture

Geir Storvik; Gjenkjenning av konturer i støyfylte bilder 1992. Scientific lecture

Line Eikvil; Marit Holden; Geir Olve Storvik; Methods for updating of model parameters applied within the area of symbol recognition (ISSN 82-539-0352-9 ), 1992. Report

Vidar Bosnes; Marit Holden; Geir Olve Storvik; Vidar Bosnes; Multispectral analysis and classification system (cxxmacs): Users manual (ISSN 82-539-0356-1 ), 1992. Report

Geir Olve Storvik; Vidar Bosnes; Marit Holden; Vidar Bosnes; Improving statistical image classification by updating model parameters using unclassified pixels (ISSN 82-539-0350-2 ), 1992. Report

Vidar Bosnes; Viggo Blomlie; John Kløve Hald; Marit Holden; Gutorm Thomas Høgåsen; et al. An evaluation of statistical modeling in magnetic resonance imaging using images fron the central nervous system aquired with and without a Gladolium-based contrast medium (ISSN 82-539-0348-0 ), 1992. Report

Geir Storvik; Data-reduction by projections for multivariate spatial images (ISSN 82-539-0346-4 ), 1992. Report

Geir Storvik; A Bayesian approach to dynamic contours 1992. Report

Geir Storvik; Kjersti Aas; Relations between wireline logs and seismic data. Pilot project 1992. Report

Erik Bølviken; Geir Storvik; Dag Erik Nilsen; Erling Siring; Dirk van der Wel; Automated prediction of sedimentary facies from wireline logs Ukjent, 1991. Scientific article

Erik Bølviken; Jon Helgeland; Geir Olve Storvik; Jon Helgeland; Stochastic regime models and wireline log data 1991. Scientific lecture

J. O. Aasen; Trond H. Høye; A. C. MacDonald; A. O. Grindheim; Torgrim Jacobsen; et al. Stochastic heterogeneity models of thin, laterally continuous North Sea sandstones and their influence on simulated reservoir performance, SPE 22696 1991. Scientific lecture

Ragnar Bang Huseby; Gutorm Thomas Høgåsen; Geir Storvik; Kjersti Aas; Classification of objects in multi-spectral images 1991. Report

Erik Bølviken; Geir Storvik; Predicting sedimentary facies from wireline logs II: Further testing and developments 1991. Report

Geir Storvik; Programmering i C - retningslinjer og råd for SAND 1991. Report

Lars Holden; Geir Storvik; Development of DESIRE modelling tool 1990. Scientific lecture

Alister MacDonald; Trond H. Høye; Lars Holden; Geir Storvik; Kjetil B. Halvorsen; et al. Stochastic flow unit modelling of a North Sea coastal-deltaic reservoir 1990. Scientific lecture

Erik Bølviken; Geir Storvik; User's manual for the sedimentary facies indentification (SEDFACI) system 1990. Report

Kjetil B. Halvorsen; Lars Holden; Geir Storvik; DESIRE - Et programsystem for stokastisk simulering av reservoarkarakteristika. Modellbeskrivelse og brukerdokumentasjon. Versjon 3.0 1990. Report

Geir Storvik; Data reduction by separation of signal and noise components for multi spatial images Ukjent, 1989. Article journal

Geir Storvik; Data reduction by separation of signal and noise components for multivariate spatial images 1989. Scientific lecture

Jon Helgeland; Knut Hektoen Moen; Geir Storvik; Torfinn Taxt; Contextual lithofacies and permeability prediction - (CLAPP System). User manual 1989. Report

Erik Bølviken; Geir Storvik; Predicting sedimentary facies from wireline logs 1989. Report

Jon Helgeland; Erik Bølviken; Geir Storvik; Dirk van der Wel; Erling Siring; Statistical permeability prediction from wireline logs by switching and Markov regime models Ukjent, 1988. Scientific article

Erik Mohn; Geir Storvik; Statistiske metoder ved faciesinndeling av et kalksteinsreservoar 1988. Report

Erik Bølviken; Jon Helgeland; Erik Mohn; Geir Storvik; Prediksjon av lithofacies og permeabilitet. En metodeutprøvning basert på data fra tre Troll-brønner 1988. Report

Petter Abrahamsen; Erik Bølviken; Jon Helgeland; Geir Storvik; Kan en computer inndele en brønn i sedimentære facies uten å anvende andre data enn logger? 1988. Report

Petter Abrahamsen; Jon Helgeland; Geir Storvik; En undersøkelse av muligheten for å skille vannsoner fra oljesoner på grunnlag av loggmålinger 1988. Report

Erik Bølviken; Jon Helgeland; Geir Storvik; Erling Siring; Dirk van der Wel; Statistical permeability from wireline logs by switching and Markov regime models 1988. Report

Nils Lid Hjort; Erik Mohn; Geir Storvik; Estimating compaction using formation subsidence monitoring tool: Development of new models and methods 1988. Report

Erik Mohn; Nils Lid Hjort; Geir Olve Storvik; A simulation study of some contextual classification methods for remotely sensed data IEEE Transactions on Geoscience and Remote Sensing, vol. 25, pp. 796 804 , (ISSN 0196-2892 1558-0644 ), doi: https://doi.org/10.1109/TGRS.1987.289751 , 1987. Scientific article

Nils Lid Hjort; Erik Mohn; Geir Storvik; Estimating compaction based on FSMT data; Description and evaluation of the Phillips method 1987. Report

Erik Mohn; Nils Lid Hjort; Geir Storvik; A simulation study of some contextual classification methods for remotely sensed data Ukjent, 1986. Scientific article

Geir Olve Storvik; Estimering av parametre i en lineært strukturert kovariansmatrise, anvendt i fjernanalyse 1986. Report

Erik Mohn; Nils Lid Hjort; Geir Olve Storvik; A comparison of some classification methods in remote sensing by a Monte Carlo study 1986. Report

Nils Lid Hjort; Erik Mohn; Geir Storvik; Contextual classification of remotely sensed data, based on an autocorrelation model Ukjent, 1985. Article journal