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
Publications

Hubin, Aliaksandr; Storvik, Geir & Frommlet, Florian (2021). Flexible Bayesian Nonlinear Model Configuration. The journal of artificial intelligence research. ISSN 10769757. 72, p. 901–942. doi: 10.1613/JAIR.1.13047. Show summary

Hubin, Aliaksandr; Frommlet, Florian & Storvik, Geir Olve (2021). Reversible genetically modified mode jumping MCMC. In Makridis, Andreas; Milienos, Fotios; Papastamoulis, Panagiotis; Parpoula, Christina & Rakitzis, Athanasios (Ed.), 22nd European Young Statisticians Meeting – Proceedings. Department of Psychology & Department of Sociology, School of Social Science, Panteion University of Social and Political Sciences. ISSN 9789607943231. p. 35–40.

Gramuglia, Emanuele; Storvik, Geir Olve & Stakkeland, Morten (2021). Clustering and automatic labelling within time series of cate gorical observations  with an application to marine log messages. The Journal of the Royal Statistical Society, Series C (Applied Statistics). ISSN 00359254. 70(3), p. 714–732. doi: 10.1111/rssc.12483. Full text in Research Archive Show summary

Hubin, Aliaksandr; Storvik, Geir Olve; Grini, Paul Eivind & Butenko, Melinka Alonso (2020). A Bayesian binomial regression model with latent gaussian processes for modelling DNA methylation. Austrian Journal of Statistics. ISSN 1026597X. 49(4), p. 46–56. doi: 10.17713/ajs.v49i4.1124. Full text in Research Archive Show summary

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 Kharin, Y & Filzmoser, Peter (Ed.), Proceedings of Computer Data Analysis and Modeling: Stochastics and Data Science 2019. Belarusian State University Press. ISSN 9789855668115. p. 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 Olaussen, Jon Olaf (Eds.), Contributions in natural resource economics. Festschrift to Anders Skonhoft. Fagbokforlaget. ISSN 9788245024715. p. 183–197.

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), p. 1–13. doi: 10.1371/journal.pcbi.1006731. 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. 15(1), p. 263–311. doi: 10.1214/18BA1141. Full text in Research Archive

Vanem, Erik & Storvik, Geir Olve (2018). Dynamical Linear Models for Condition Monitoring with Multivariate Sensor Data. International Journal of COMADEM. ISSN 13637681. 21(4), p. 7–18.

Hubin, Aliaksandr & Storvik, Geir Olve (2018). Mode jumping MCMC for Bayesian variable selection in GLMM. Computational Statistics & Data Analysis. ISSN 01679473. 127, p. 281–297. doi: 10.1016/j.csda.2018.05.020. Full text in Research Archive

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, p. 1–8. doi: 10.1186/s1285901716789. 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, PHM 2017 Proceedings of the Annual Conference of the Prognostics and Health Management Society 2017. PHM Society. ISSN 9781936263264. p. 185–200.

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), p. 888–898. doi: 10.1111/13652656.12678. Full text in Research Archive

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, p. 62–72. doi: 10.1016/j.fishres.2016.09.033. Full text in Research Archive Show summary

Hubin, Aliaksandr & Storvik, Geir Olve (2016). On Mode Jumping in MCMC for Bayesian Variable Selection within GLMM. In Aivazian, S; Filzmoser, Peter & Kharin, Y (Ed.), COMPUTER DATA ANALYSIS AND MODELING. Theoretical and Applied Stochastics. Proceedings of the XI International Conference.. Belarusian State University. ISSN 9789855533666. p. 275–278. doi: 10.1016/j.csda.2018.05.020.

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), p. 15030–15035. doi: 10.1073/pnas.1525749113.

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, p. 85–96. doi: 10.1016/j.fsigen.2016.07.016. 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), p. 1271–1280. doi: 10.1139/cjfas20150322. 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, p. 35–44. doi: 10.1016/j.fsigen.2015.11.008. Full text in Research Archive

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), p. 473–484. doi: 10.1007/s1014401505007.

Gomes Marques, Reinaldo A. & Storvik, Geir Olve (2014). Reweighting Schemes Based on Particle Methods. In Lanzarone, Ettore & Ieva, Francesca (Ed.), The Contribution of Young Researchers to Bayesian Statistics. Springer. ISSN 9783319020846. p. 73–76. doi: 10.1007/9783319020846_14.

Otero, Jaime; L'AbeeLund, Jan Henning; CastroSantos, Ted; Leonardsson, Kjell; Storvik, Geir Olve & Jonsson, Bror [Show all 46 contributors for this article] (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), p. 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), p. 168–180. doi: 10.1111/13652664.12004.

Storvik, Geir Olve (2012). Bayesian methods. In Veierød, Marit Bragelien; Lydersen, Stian & Laake, Petter (Ed.), Medical statistics in clinical and epidemiological research. Gyldendal Akademisk. ISSN 9788205399594. p. 559–584.

Storvik, Geir Olve (2012). Bootstrapping. In Veierød, Marit Bragelien; Lydersen, Stian & Laake, Petter (Ed.), Medical statistics in clinical and epidemiological research. Gyldendal Akademisk. ISSN 9788205399594. p. 402–428.

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), p. 2064–2076. doi: 10.1139/CJFAS20120075.

Nielsen, Anders; Yoccoz, Nigel; Steinheim, Geir; Storvik, Geir Olve; Rekdal, Yngve & Angeloff, Michael [Show all 9 contributors for this article] (2012). Are responses of herbivores to environmental variability spatially consistent in alpine ecosystems? Global Change Biology. ISSN 13541013. 18(10), p. 3050–3062. doi: 10.1111/j.13652486.2012.02733.x.

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), p. 2192–2203. doi: 10.1002/ece3.337. Full text in Research Archive

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), p. 64–74. doi: 10.1093/icesjms/fsr172. Show summary

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

Heier, Lise; Storvik, Geir Olve; Davis, Stephen; Viljugrein, Hildegunn; Ageyev, Vladimir & Klassovskaya, Evgeniya [Show all 7 contributors for this article] (2011). Emergence, spread, persistence and fadeout of sylvatic plague in Kazakhstan. Proceedings of the Royal Society of London. Biological Sciences. ISSN 09628452. 278(1720), p. 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), p. 342–358. doi: 10.1111/j.14679469.2010.00709.x.

Steinbakk, Gunnhildur Högnadóttir & Storvik, Geir Olve (2009). Posterior Predictive pvalues in Bayesian Hierarchical Models. Scandinavian Journal of Statistics. ISSN 03036898. 36(2), p. 320–336. doi: 10.1111/j.14679469.2008.00630.x.

Hubin, Aliaksandr; Frommlet, Florian & Storvik, Geir Olve (2021). Reversible Genetically Modified MCMCs. Show summary

Hubin, Aliaksandr & Storvik, Geir Olve (2021). Variational Inference for Bayesian Neural Networks under Model and Parameter Uncertainty. Show summary

Hubin, Aliaksandr & Storvik, Geir Olve (2021). Variational Bayes for inference on model and parameter uncertainty in Bayesian neural networks. Show summary

Hubin, Aliaksandr; Storvik, Geir Olve & Frommlet, Florian (2020). A novel algorithmic approach to Bayesian Logic Regression. Show summary

Hubin, Aliaksandr; Storvik, Geir Olve & Frommlet, Florian (2020). Rejoinder for the discussion of the paper "A Novel Algorithmic Approach to Bayesian Logic Regression". Bayesian Analysis. ISSN 19360975. 15(1), p. 312–333. doi: 10.1214/18ba1141. Full text in Research Archive

Storvik, Geir Olve (2020). "Preliminaries for Deep Neural Networks: Recapture of Linear Algebra, Gradient Descents and Generalized Linear Models".

Storvik, Geir Olve (2020). Neural networks vs 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; Grini, Paul Eivind & Butenko, Melinka Alonso (2019). Bayesian binomial regression model with a latent Gaussian field for analysis of epigenetic data.

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.

Hubin, Aliaksandr & Storvik, Geir Olve (2019). Combining Model and Parameter Uncertainty in Bayesian Neural Networks.

Storvik, Geir Olve & Hubin, Aliaksandr (2019). Combining model and parameter uncertainty in Bayesian neural networks.

Storvik, Geir Olve (2019). Flexible Bayesian Nonlinear Model Configuration.

Storvik, Geir Olve (2019). Bayesian approaches to neural networks.

Storvik, Geir Olve (2019). Bayesian approaches to neural networks.

Storvik, Geir Olve (2019). On the use of Bayesian methods in machine learning.

Storvik, Geir Olve (2019). Education in Statistics and Data Science at the University of Oslo .

Storvik, Geir Olve (2019). Bayesian approaches to 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; Vigeland, Magnus Dehli; Caliebe, Amke & Egeland, Thore (2018). Specification of mutation probabilities through MetropolisHastings steps.

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 & Frommlet, Florian (2017). A novel algorithmic approach to Bayesian Logic Regression.

Hubin, Aliaksandr; Storvik, Geir Olve & Frommlet, Florian (2017). A novel GMJMCMC algorithm for Bayesian Logic Regression models.

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 algorithmic approach to Bayesian Logic Regression.

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), p. E4322–E4323. doi: 10.1073/pnas.1703865114.

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.

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.

Storvik, Geir Olve; Aanes, Sondre & Maisha, Peter Nyangweso (2015). Estimation of fish abundance and demography in the Barents sea.

Storvik, Geir Olve (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.

Storvik, Geir Olve (2012). Bayesian approaches to neural networks.

Rognebakke, Hanne Therese Wist; Hirst, David; Aldrin, Magne & Storvik, Geir (2011). Modelling catch at age for multiple stock.

Christensen, Arnfinn; Grunt, Hilde; Jødahl, Roar; Storvik, Geir Olve & Natvig, Bent (2011). Tilfeldig! Neppe? En statistiker klarte å knekke vinnerkoden i et stort kanadisk skrapelotteri. Hvor tilfeldig er vinnertallene? [Internet]. forskning.no.

Villar, Jaime Otero; Antonsson, Thorulfur; Armstrong, John; Arnason, Fridthjofur; Arnekleiv, Jo Vegar & Baglinière, JeanLuc [Show all 26 contributors for this article] (2010). Environmental effects on ocean entry of Atlantic salmon (Salmo salar) smolt across its range of distribution.

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.

Storvik, Geir Olve (2010). On the flexibility of acceptance probabilities in auxiliary variable MetropolisHastings algorithms.

Storvik, Geir Olve; Heier, Lise; Viljugrein, Hildegunn & Stenseth, Nils Christian (2010). Bayesian analysis of plague in Kazakhstan.

Storvik, Geir Olve; Heier, Lise; Stenseth, Nils Christian & Kvaal, Bård Øyvind (2010). Bayesian analysis of plague in Kazakhstan.

Heier, Lise; Storvik, Geir Olve; Davis, Stephen; Viljugrein, Hildegunn; Ageyev, Vladimir & Klassovskaya, Evgeniya [Show all 7 contributors for this article] (2010). Emergence, Spread, Persistence and Fadeout of Sylvatic Plague in Kazakhstan.

Storvik, Geir Olve (2010). DNA som bevismateriale  Sannsynlighetsregning i rettsalen.

Storvik, Geir Olve & Marques, Reinaldo (2018). On Monte Carlo Contributions for Realtime Probabilistic Inference. University of Oslo.

Storvik, Geir Olve & Hubin, A. (2018). Bayesian model configuration, selection and averaging in complex regression contexts. University of Oslo.

Rognebakke, Hanne; Hirst, David; Aanes, Sondre & Storvik, Geir Olve (2016). Catchatage  Version 4.0: Technical Report. Norsk Regnesentral.

Storvik, Geir Olve; Løland, Anders; Lykkja, Ola Martin & Gjevestad, Jon Glenn Omholt (2016). SAVE – tracking vehicle movements for toll object detection using particle filter. Norsk Regnesentral.

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. Matematisk Institutt, UiO. Full text in Research Archive Show summary

Rognebakke, Hanne Therese Wist; Hirst, David & Storvik, Geir Olve (2011). Catchatage  Version 2.0: Technical Report. Norsk Regnesentral.

Rognebakke, Hanne; Hirst, David; Storvik, Geir & Aldrin, Magne (2011). Catchatage for multiple stocks: Modelling Skrei and Coastal Cod simultaneously. Norsk Regnesentral.
Published Nov. 30, 2010 11:20 PM
 Last modified Aug. 6, 2020 10:16 AM