Geir Olve Storvik
Professor

Statistics and Data Science
Norwegian version of this page
Email
geirs@math.uio.no
Phone
+47 22855894
Room
818
Username
Visiting address
Moltke Moes vei 35
Niels Henrik Abels hus
0851 OSLO
Postal address
Postboks 1053 Blindern
0316 OSLO
Research interests: Data Science and Computational statistics, Bayesian hierarchial modelling, biological applications
PhD students:
 Reinaldo A. Gomes Marques, Sequential inference in dynamic hierarchical models, current, main supervisor
 Aliaksandr Hubin, Statistical methods for analysis of epigenetic data, current, main supervisor
 Lise Heier, The ecology of central Asian plague: The system of great gerbils, fleas, climate and Yersina pestis, current, cosupervisor
 Knut Rand, current, cosupervisor
 Srinidhi Varadharajan, The grayling genome: Comparative genomics of salmanoids, current, cosupervisor
 Andreas Brandsæter, Sensor based condition monitoring for vessels safety, current, cosupervisor
 Navreet Kaur (2017): Parameters and Pedigrees in Forensic Genetics and Statistics, current. Cosupervisor
 Olav Nikolai Breivik (2016), Bayesian spatiotemporal hierarchical modeling: Bycatch in the Barents Sea shrimp fishery and North Atlantic windiness, Cosupervisor
 Øyvind Bleka (2016), Improved analysis of complex DNA profiles and the interrogation of very large national DNA databases. Cosupervisor
 Inger Maren Riverud (2013): Habitat selection and activity of red deer in Norway. Cosupervisor
 Dinara Sadykova (2010): Integrating diverse data by a likelihood function based on models of population dynamics and of observational processes: application relevant for managing aquatic resources. Cosupervisor
 Are Fritz Charles Jensen (2009): Some approaches to covariance regularizaton and dimensionality reduction in statistical classification of hyperspectral image data, Cosupervisor
 Gunnhildur Høgnadottir Steinbakk (2008): Conceptual and computational issues for Bayesian model criticism. Main supervisor.
 Camilla Brekke (2008): Automatic screening synthetic aperture radar imagery for detection of oil pollution in the marine environment. Cosupervisor
 Ingunn Fride Tvete (2007), Bayesian hierarchial modelling applied to insurance claims, earthquake predictions, marine biology and medicine, Main supervisor
 Asbjørn Berge (2007): Improving hyperspectral classification by simplified parameter estimates. Cosupervisor
 Kjetill Kaaresen (1997): Maximum a posteriori deconvolution of sparse signals. Cosupervisor
Publications
 Grytten, Ivar; Rand, Knut Dagestad; Nederbragt, Alexander Johan; Storvik, Geir Olve; Glad, Ingrid Kristine & Sandve, Geir Kjetil (2019). Graph Peak Caller: Calling ChIPseq peaks on graphbased reference genomes. PLoS Computational Biology. ISSN 1553734X. 15(2), s 1 13 . doi: 10.1371/journal.pcbi.1006731
 Hubin, Aliaksandr; Storvik, Geir Olve; Grini, Paul Eivind & Butenko, Melinka Alonso (2019). Bayesian binomial regression model with a latent Gaussian field for analysis of epigenetic data, In Y Kharin & Peter Filzmoser (ed.), Proceedings of Computer Data Analysis and Modeling: Stochastics and Data Science 2019. Belarusian State University Press. ISBN 9789855668115. 1. s 167  171
 Mysterud, Atle; Bleka, Øyvind; Nielsen, Anders; Steinheim, Geir; Yoccoz, Nigel Gilles & Storvik, Geir Olve (2019). Climate and synchrony of lamb body mass, In Jon Olaf Olaussen (ed.), Contributions in natural resource economics. Festschrift to Anders Skonhoft. Fagbokforlaget. ISBN 9788245024715. 9. s 183  197
 Hubin, Aliaksandr & Storvik, Geir Olve (2018). Mode jumping MCMC for Bayesian variable selection in GLMM. Computational Statistics & Data Analysis. ISSN 01679473. 127, s 281 297 . doi: 10.1016/j.csda.2018.05.020 Full text in Research Archive.
 Hubin, Aliaksandr; Storvik, Geir Olve & Frommlet, Florian (2018). A Novel Algorithmic Approach to Bayesian Logic Regression. Bayesian Analysis. ISSN 19360975. . doi: 10.1214/18BA1141 Full text in Research Archive. Show summary
 Vanem, Erik & Storvik, Geir Olve (2018). Dynamical Linear Models for Condition Monitoring with Multivariate Sensor Data. International Journal of COMADEM. ISSN 13637681. 21(4), s 7 18
 Breivik, Olav Nikolai; Storvik, Geir Olve & Nedreaas, Kjell Harald (2017). Latent Gaussian models to predict historical bycatch in commercial fishery. Fisheries Research. ISSN 01657836. 185, s 62 72 . doi: 10.1016/j.fishres.2016.09.033 Full text in Research Archive. Show summary
 Rand, Knut Dagestad; Grytten, Ivar; Nederbragt, Alexander Johan; Storvik, Geir Olve; Glad, Ingrid Kristine & Sandve, Geir Kjetil (2017). Coordinates and intervals in graphbased reference genomes. BMC Bioinformatics. ISSN 14712105. 18:263, s 1 8 . doi: 10.1186/s1285901716789 Full text in Research Archive.
 Rogers, Lauren; Storvik, Geir Olve; Knutsen, Halvor; Olsen, Esben Moland & Stenseth, Nils Christian (2017). Finescale population dynamics in a marine fish species inferred from dynamic statespace models. Journal of Animal Ecology. ISSN 00218790. 86(4), s 888 898 . doi: 10.1111/13652656.12678 Full text in Research Archive.
 Vanem, Erik & Storvik, Geir Olve (2017). Anomaly Detection Using Dynamical Linear Models and Sequential Testing on a Marine Engine System, In PHM 2017 Proceedings of the Annual Conference of the Prognostics and Health Management Society 2017. PHM Society. ISBN 9781936263264. . s 185  200
 Bleka, Øyvind; Benschop, Corina C G; Storvik, Geir Olve & Gill, Peter (2016). A comparative study of qualitative and quantitative models used to interpret complex STR DNA profiles. Forensic Science International: Genetics. ISSN 18724973. 25, s 85 96 . doi: 10.1016/j.fsigen.2016.07.016 Full text in Research Archive.
 Bleka, Øyvind; Storvik, Geir Olve & Gill, Peter (2016). EuroForMix: An open source software based on a continuous model to evaluate STR DNA profiles from a mixture of contributors with artefacts. Forensic Science International: Genetics. ISSN 18724973. 21, s 35 44 . doi: 10.1016/j.fsigen.2015.11.008 Full text in Research Archive.
 Breivik, Olav Nikolai; Storvik, Geir Olve & Nedreaas, Kjell Harald (2016). Latent gaussian models to decide on spatial closures for bycatch management in the barents sea shrimp fishery. Canadian Journal of Fisheries and Aquatic Sciences. ISSN 0706652X. 73(8), s 1271 1280 . doi: 10.1139/cjfas20150322 Full text in Research Archive.
 Eikeset, Anne Maria; Dunlop, Erin; Heino, Mikko Petteri; Storvik, Geir Olve; Stenseth, Nils Christian & Dieckmann, Ulf (2016). Roles of densitydependent growth and life history evolution in accounting for fisheriesinduced trait changes. Proceedings of the National Academy of Sciences of the United States of America. ISSN 00278424. 113(52), s 15030 15035 . doi: 10.1073/pnas.1525749113
 Hubin, Aliaksandr & Storvik, Geir Olve (2016). On Mode Jumping in MCMC for Bayesian Variable Selection within GLMM, In S Aivazian; Peter Filzmoser & Y Kharin (ed.), COMPUTER DATA ANALYSIS AND MODELING. Theoretical and Applied Stochastics. Proceedings of the XI International Conference.. Belarusian State University. ISBN 9789855533666. KAPITTEL. s 275  278 Show summary
 Heier, Lise; Viljugrein, Hildegunn & Storvik, Geir Olve (2015). Persistence of plague outbreaks among great gerbils in Kazakhstan: effects of host population dynamics. Population Ecology. ISSN 14383896. 57(3), s 473 484 . doi: 10.1007/s1014401505007
 Gomes Marques, Reinaldo A. & Storvik, Geir Olve (2014). Reweighting Schemes Based on Particle Methods, In Ettore Lanzarone & Francesca Ieva (ed.), The Contribution of Young Researchers to Bayesian Statistics. Springer. ISBN 9783319020846. 14. s 73  76 Show summary
 Otero, Jaime; L'AbeeLund, Jan Henning; CastroSantos, Ted; Leonardsson, Kjell; Storvik, Geir Olve; Jonsson, Bror; Dempson, J. Brian; Russell, Ian C.; Jensen, Arne Johan; Baglinière, JeanLuc; Dionne, Mélanie; Armstrong, John D.; Romakkaniemi, Atso; Letcher, Benjamin H.; Kocik, John F.; Erkinaro, Jaakko; Poole, Russell; Rogan, Ger; Lundqvist, Hans; MacLean, Julian C.; Jokikokko, Erkki; Arnekleiv, Jo Vegar; Kennedy, Richard J.; Niemelä, Eero; Caballero, Pablo; Music, Paul A.; Antonsson, Thorolfur; Gudjonsson, Sigurdur; Veselov, Alexey E.; Lamberg, Anders; Groom, Steve; Taylor, Benjamin H.; Taberner, Malcolm; Dillane, Mary; Arnason, Fridthjofur; Horton, Gregg; Hvidsten, Nils Arne; Jonsson, Ingi Runar; Jonsson, Nina; McKelvey, Simon; Næsje, Tor; Skaala, Øystein; Smith, Gordon W.; Sægrov, Harald; Stenseth, Nils Christian & Vøllestad, Leif Asbjørn (2014). Basinscale phenology and effects of climate variability on global timing of initial seaward migration of Atlantic salmon (Salmo salar). Global Change Biology. ISSN 13541013. 20(1), s 61 75 . doi: 10.1111/gcb.12363 Show summary
 Marques, Reinaldo A. Gomes & Storvik, Geir Olve (2013). Particle movereweighting strategies for online inference. Statistical research report (Universitetet i Oslo. Matematisk institut. ISSN 08063842. Full text in Research Archive.
 Rivrud, Inger Maren; Sonkoly, Krisztina; Lehoczki, Róbert; Csányi, Sándor; Storvik, Geir Olve & Mysterud, Atle (2013). Hunter selection and longterm trend (18812008) of red deer trophy sizes in Hungary. Journal of Applied Ecology. ISSN 00218901. 50(1), s 168 180 . doi: 10.1111/13652664.12004
 Aldrin, Magne; Mortensen, Bjørnar Tumanjan; Storvik, Geir Olve; Nedreaas, Kjell; Aglen, Asgeir & Aanes, Sondre (2012). Improving management decisions by predicting fish bycatch in the Barents Sea shrimp fishery. ICES Journal of Marine Science. ISSN 10543139. 69(1), s 64 74 . doi: 10.1093/icesjms/fsr172 Show summary
 Hirst, David; Storvik, Geir Olve; Rognebakke, Hanne; Aldrin, Magne; Aanes, Sondre & Vølstad, Jon Helge (2012). A Bayesian modelling framework for the estimation of catchatage of commercially harvested fish species. Canadian journal of fisheries and aquatic sciences. Supplem ent = Journ al canadien des sciences halieutiques et aquati qu. ISSN 07147937. 69(12), s 2064 2076 . doi: 10.1139/CJFAS20120075
 Nielsen, Anders; Yoccoz, Nigel; Steinheim, Geir; Storvik, Geir Olve; Rekdal, Yngve; Angeloff, Michael; Pettorelli, Nathalie; Holand, Øystein & Mysterud, Atle (2012). Are responses of herbivores to environmental variability spatially consistent in alpine ecosystems?. Global Change Biology. ISSN 13541013. 18(10), s 3050 3062 . doi: 10.1111/j.13652486.2012.02733.x
 Storvik, Geir Olve (2012). Bayesian methods, In Marit Bragelien Veierød; Stian Lydersen & Petter Laake (ed.), Medical statistics in clinical and epidemiological research. Gyldendal Akademisk. ISBN 9788205399594. Kapittel 17. s 559  584
 Storvik, Geir Olve (2012). Bootstrapping, In Marit Bragelien Veierød; Stian Lydersen & Petter Laake (ed.), Medical statistics in clinical and epidemiological research. Gyldendal Akademisk. ISBN 9788205399594. Kapittel 12. s 402  428
 Villar, Jaime Otero; Jensen, Arne Johan; L'abeeLund, Jan Henning; Stenseth, Nils Christian; Storvik, Geir Olve & Vøllestad, Leif Asbjørn (2012). Contemporary ocean warming and freshwater conditions are related to later sea age at maturity in Atlantic salmon spawning in Norwegian rivers. Ecology and Evolution. ISSN 20457758. 2(9), s 2192 2203 . doi: 10.1002/ece3.337 Full text in Research Archive.
 Heier, Lise; Storvik, Geir Olve; Davis, Stephen; Viljugrein, Hildegunn; Ageyev, Vladimir; Klassovskaya, Evgeniya & Stenseth, Nils Christian (2011). Emergence, spread, persistence and fadeout of sylvatic plague in Kazakhstan. Proceedings of the Royal Society of London. Biological Sciences. ISSN 09628452. 278(1720), s 2915 2923 . doi: 10.1098/rspb.2010.2614
 Storvik, Geir Olve (2011). On the flexibility of MetropolisHastings acceptance probabilities in auxiliary variable proposal generation. Scandinavian Journal of Statistics. ISSN 03036898. 38(2), s 342 358 . doi: 10.1111/j.14679469.2010.00709.x
 Villar, Jaime Otero; Jensen, Arne Johan; L'abeeLund, Jan Henning; Stenseth, Nils Christian; Storvik, Geir Olve & Vøllestad, Leif Asbjørn (2011). Quantifying the Ocean, Freshwater and Human Effects on YeartoYear Variability of OneSeaWinter Atlantic Salmon Angled in Multiple Norwegian Rivers. PLOS ONE. ISSN 19326203. 6(8) . doi: 10.1371/journal.pone.0024005 Full text in Research Archive.
 Steinbakk, Gunnhildur Högnadóttir & Storvik, Geir Olve (2009). Posterior Predictive pvalues in Bayesian Hierarchical Models. Scandinavian Journal of Statistics. ISSN 03036898. 36(2), s 320 336 . doi: 10.1111/j.14679469.2008.00630.x
 Storvik, Bård; Storvik, Geir Olve & Fjørtoft, Roger (2009). On the Combination of Multisensor Data Using MetaGaussian Distributions. IEEE Transactions on Geoscience and Remote Sensing. ISSN 01962892. 47(7), s 2372 2379 . doi: 10.1109/TGRS.2009.2012699
 Storvik, Bård; Storvik, Geir & Fjørtoft, Roger Sverre (2008). On the combination of correlated images using metaGaussian distributions. Ukjent.
 Storvik, Geir Olve (2020). Neural networks vs generalized linear models.
 Storvik, Geir Olve (2020). "Preliminaries for Deep Neural Networks: Recapture of Linear Algebra, Gradient Descents and Generalized Linear Models".
 Hubin, Aliaksandr & Storvik, Geir Olve (2019). Combining Model and Parameter Uncertainty in Bayesian Neural Networks.
 Hubin, Aliaksandr & Storvik, Geir Olve (2019). Combining Model and Parameter Uncertainty in Bayesian Neural Networks. Show summary
 Hubin, Aliaksandr & Storvik, Geir Olve (2019). Combining Model and Parameter Uncertainty in Bayesian Neural Networks.
 Hubin, Aliaksandr & Storvik, Geir Olve (2019). Combining Model and Parameter Uncertainty in Bayesian Neural Networks. Show summary
 Hubin, Aliaksandr & Storvik, Geir Olve (2019). Combining Model and Parameter Uncertainty in Bayesian Neural Networks.
 Hubin, Aliaksandr; Storvik, Geir Olve; Grini, Paul Eivind & Butenko, Melinka Alonso (2019). Bayesian binomial regression model with a latent Gaussian field for analysis of epigenetic data.
 Storvik, Geir Olve (2019). Bayesian approaches to neural networks.
 Storvik, Geir Olve (2019). Bayesian approaches to neural networks.
 Storvik, Geir Olve (2019). Bayesian approaches to neural networks.
 Storvik, Geir Olve (2019). Education in Statistics and Data Science at the University of Oslo.
 Storvik, Geir Olve (2019). Flexible Bayesian Nonlinear Model Configuration.
 Storvik, Geir Olve (2019). On the use of Bayesian methods in machine learning.
 Storvik, Geir Olve & Hubin, Aliaksandr (2019). Combining model and parameter uncertainty in Bayesian neural networks.
 Hubin, Aliaksandr; Storvik, Geir Olve & Frommlet, Florian (2018). Deep Bayesian regression models.
 Hubin, Aliaksandr; Storvik, Geir Olve & Frommlet, Florian (2018). Deep Bayesian regression models.
 Hubin, Aliaksandr; Storvik, Geir Olve & Frommlet, Florian (2018). Deep Bayesian regression models.
 Hubin, Aliaksandr; Storvik, Geir Olve & Frommlet, Florian (2018). Deep Bayesian regression models. Show summary
 Hubin, Aliaksandr; Storvik, Geir Olve & Frommlet, Florian (2018). Deep Bayesian regression models. Show summary
 Hubin, Aliaksandr; Storvik, Geir Olve & Frommlet, Florian (2018). Deep Bayesian regression models. Show summary
 Storvik, Geir Olve (2018). Preliminaries for Deep Neural Networks: Recapture of Linear Algebra, Gradient Descents and Generalized Linear Models.
 Storvik, Geir Olve (2018). Statistical analysis for Time series.
 Storvik, Geir Olve & Hubin, A. (2018). Bayesian model configuration, selection and averaging in complex regression contexts.
 Storvik, Geir Olve & Marques, Reinaldo (2018). On Monte Carlo Contributions for Realtime Probabilistic Inference.
 Storvik, Geir Olve; Vigeland, Magnus Dehli; Caliebe, Amke & Egeland, Thore (2018). Specification of mutation probabilities through MetropolisHastings steps.
 Eikeset, Anne Maria; Dunlop, Erin; Heino, Mikko Petteri; Storvik, Geir Olve; Stenseth, Nils Christian & Dieckmann, Ulf (2017). Reply to Enberg and Jørgensen: Ecology and evolution both matter for explaining stock dynamics. Proceedings of the National Academy of Sciences of the United States of America. ISSN 00278424. 114(22), s E4322 E4323 . doi: 10.1073/pnas.1703865114
 Hubin, Aliaksandr & Storvik, Geir Olve (2017). Efficient mode jumping MCMC for Bayesian variable selection and model averaging in GLMM.
 Hubin, Aliaksandr; Storvik, Geir Olve & Frommlet, Florian (2017). A novel GMJMCMC algorithm for Bayesian Logic Regression models.
 Hubin, Aliaksandr; Storvik, Geir Olve & Frommlet, Florian (2017). A novel algorithmic approach to Bayesian Logic Regression.
 Hubin, Aliaksandr; Storvik, Geir Olve & Frommlet, Florian (2017). A novel algorithmic approach to Bayesian Logic Regression.
 Hubin, Aliaksandr; Storvik, Geir Olve & Frommlet, Florian (2017). Deep nonlinear regression models in a Bayesian framework.
 Hubin, Aliaksandr; Storvik, Geir Olve & Grini, Paul Eivind (2017). Variable selection in binomial regression with latent Gaussian field models for analysis of epigenetic data.
 Hubin, Aliaksandr & Storvik, Geir Olve (2016). Efficient mode jumping MCMC for Bayesian variable selection in GLM with random effects models.
 Hubin, Aliaksandr & Storvik, Geir Olve (2016). On Mode Jumping in MCMC for Bayesian Variable Selection within GLMM.
 Hubin, Aliaksandr & Storvik, Geir Olve (2016). VARIABLE SELECTION IN BINOMIAL REGRESSION WITH LATENT GAUSSIAN FIELD MODELS FOR ANALYSIS OF EPIGENETIC DATA.
 Hubin, Aliaksandr & Storvik, Geir Olve (2016). Variable selection in logistic regression with a latent Gaussian field models with an application in epigenomics.
 Rognebakke, Hanne; Hirst, David; Aanes, Sondre & Storvik, Geir Olve (2016). Catchatage  Version 4.0: Technical Report. NRnotat. SAMBA/54/16.
 Storvik, Geir Olve; Løland, Anders; Lykkja, Ola Martin & Gjevestad, Jon Glenn Omholt (2016). SAVE – tracking vehicle movements for toll object detection using particle filter. NRnotat. SAMBA/18/16.
 Vanem, Erik; Glad, Ingrid Kristine & Storvik, Geir Olve (2016). Dynamical Linear Models for Condition Monitoring with Multivariate Sensor Data.
 Hubin, Aliaksandr & Storvik, Geir Olve (2015). On model selection in Hidden Markov Models with covariates.
 Hubin, Aliaksandr & Storvik, Geir Olve (2015). Variable selection in binomial regression with a latent Gaussian field models for analysis of epigenetic data.
 Hubin, Aliaksandr & Storvik, Geir Olve (2015). Variable selection in binomial regression with a latent Gaussian field models for analysis of epigenetic data.
 Maisha, Peter Nyangweso; Storvik, Geir Olve & Aanes, Sondre (2015). A StateSpace Model for Abundance Estimation from Bottom Trawl Data with Applications to Norwegian Winter Survey. Preprint Series in Statistics. 1. Full text in Research Archive. Show summary
 Storvik, Geir Olve (2015). Estimation of fish abundance and demography in the Barents sea.
 Storvik, Geir Olve; Aanes, Sondre & Maisha, Peter Nyangweso (2015). Estimation of fish abundance and demography in the Barents sea.
 Storvik, Geir Olve & Marques, Reinaldo (2014). Estimation of static parameters using particle filters and a block independence approximation.
 Storvik, Geir Olve (2013). Computational tools for analysis of models with latent structures.
 Christensen, Arnfinn; Grunt, Hilde; Jødahl, Roar; Storvik, Geir Olve & Natvig, Bent (2011, 24. august). Tilfeldig! Neppe? En statistiker klarte å knekke vinnerkoden i et stort kanadisk skrapelotteri. Hvor tilfeldig er vinnertallene?. [Internett]. forskning.no.
 Rognebakke, Hanne Therese Wist; Hirst, David; Aldrin, Magne & Storvik, Geir (2011). Modelling catch at age for multiple stock.
 Rognebakke, Hanne Therese Wist; Hirst, David & Storvik, Geir Olve (2011). Catchatage  Version 2.0: Technical Report. NRnotat. SAMBA/44/11.
 Rognebakke, Hanne; Hirst, David; Storvik, Geir & Aldrin, Magne (2011). Catchatage for multiple stocks: Modelling Skrei and Coastal Cod simultaneously. NRnotat. SAMBA/46/11.
 Storvik, Geir Olve (2011, 24. august). Tilfeldig! Neppe?. [Internett]. Forskning.no.
 Villar, Jaime Otero; Jensen, Arne Johan; L'AbéeLund, Jan Henning; Stenseth, Nils Christian; Storvik, Geir Olve & Vøllestad, Leif Asbjørn (2010). Contemporary ocean warming and freshwater conditions contribute to delay the completion of maturation in Atlantic salmon throughout the Norwegian range of distribution.
 Heier, Lise; Storvik, Geir Olve; Davis, Stephen; Viljugrein, Hildegunn; Ageyev, Vladimir; Klassovskaya, Evgeniya & Stenseth, Nils Christian (2010). Emergence, Spread, Persistence and Fadeout of Sylvatic Plague in Kazakhstan.
 Storvik, Geir Olve (2010). DNA som bevismateriale  Sannsynlighetsregning i rettsalen.
 Storvik, Geir Olve (2010). On the flexibility of acceptance probabilities in auxiliary variable MetropolisHastings algorithms.
 Storvik, Geir Olve; Heier, Lise; Stenseth, Nils Christian & Kvaal, Bård Øyvind (2010). Bayesian analysis of plague in Kazakhstan.
 Storvik, Geir Olve; Heier, Lise; Viljugrein, Hildegunn & Stenseth, Nils Christian (2010). Bayesian analysis of plague in Kazakhstan.
 Villar, Jaime Otero; Antonsson, Thorulfur; Armstrong, John; Arnason, Fridthjofur; Arnekleiv, Jo Vegar; Baglinière, JeanLuc; Caballero, Pablo; CastroSantos, Ted; Dempson, Brian; Erkinaro, Jaakko; Gudjonsson, Sigurdur; Hvidsten, Nils Arne; Jensen, Arne Johan; Jokikokko, Erkki; Jonsson, Ingi Runar; Kocik, John; L'AbéeLund, Jan Henning; Lamberg, Anders; Letcher, Benjamin; Niemela, Eero; Romakkaniemi, Atso; Russell, Ian; Stenseth, Nils Christian; Storvik, Geir Olve; Veselov, Alexey & Vøllestad, Leif Asbjørn (2010). Environmental effects on ocean entry of Atlantic salmon (Salmo salar) smolt across its range of distribution.
 Villar, Jaime Otero; Jensen, Arne J.; L'AbéeLund, Jan Henning; Stenseth, Nils Christian; Storvik, Geir Olve & Vøllestad, Leif Asbjørn (2009). Factors affecting yeartoyear and within river variability of oneseawinter Atlantic salmon in Norwegian rivers.
 Hirst, David; Storvik, Geir Olve; Rognebakke, Hanne & Aldrin, Magne (2009). A Bayesian hierarchical modelling approach to estimating landings and discardsatage.
 Storvik, Geir Olve (2009). DNA som bevismateriale  Sannsynlighetsregning i praksis.
 Storvik, Geir Olve (2009). On the flexibility of acceptance probabilities in auxiliary variable MetropolisHastings algorithms.
 Storvik, Geir Olve (2009). Plague in Kazakhstan  A case study.
 Storvik, Geir Olve (2009). Quantification of evidence when suspects are found by searches through DNA databases.
 Storvik, Geir Olve (2009). Sekvensiell Monte Carlo (eller Partikkelfiltre).
 Storvik, Geir Olve (2008). Modelling Pollock egg counts from the western Gulf of Alaska by a zeroinflated Bayesian hierarchical spacetime model.
Published Nov. 30, 2010 11:20 PM
 Last modified Mar. 11, 2019 8:55 AM