Geir Olve Storvik

Image of Geir Olve Storvik
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Phone +47 22855894
Room 818
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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

 

Tags: Statistics, Statistics and biostatistics

Publications

  • Hubin, Aliaksandr; Storvik, Geir & Frommlet, Florian (2021). Flexible Bayesian Nonlinear Model Configuration. The journal of artificial intelligence research. ISSN 1076-9757. 72, p. 901–942. doi: 10.1613/JAIR.1.13047. Full text in Research Archive
  • 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 978-960-7943-23-1. p. 35–40.
  • Gramuglia, Emanuele; Storvik, Geir Olve & Stakkeland, Morten (2021). Clustering and automatic labelling within time series of categorical observations - with an application to marine log messages. The Journal of the Royal Statistical Society, Series C (Applied Statistics). ISSN 0035-9254. 70(3), p. 714–732. doi: 10.1111/rssc.12483. Full text in Research Archive
  • 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 1026-597X. 49(4), p. 46–56. doi: 10.17713/ajs.v49i4.1124. Full text in Research Archive
  • 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 978-985-566-811-5. 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 ChIP-seq peaks on graph-based reference genomes. PLoS Computational Biology. ISSN 1553-734X. 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 1936-0975. 15(1), p. 263–311. doi: 10.1214/18-BA1141. 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 1363-7681. 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 0167-9473. 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 graph-based reference genomes. BMC Bioinformatics. ISSN 1471-2105. 18:263, p. 1–8. doi: 10.1186/s12859-017-1678-9. 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 978-1-936263-26-4. p. 185–200.
  • Rogers, Lauren; Storvik, Geir Olve; Knutsen, Halvor; Olsen, Esben Moland & Stenseth, Nils Christian (2017). Fine-scale population dynamics in a marine fish species inferred from dynamic state-space models. Journal of Animal Ecology. ISSN 0021-8790. 86(4), p. 888–898. doi: 10.1111/1365-2656.12678. 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 0165-7836. 185, p. 62–72. doi: 10.1016/j.fishres.2016.09.033. Full text in Research Archive
  • 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 978-985-553-366-6. 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 density-dependent growth and life history evolution in accounting for fisheries-induced trait changes. Proceedings of the National Academy of Sciences of the United States of America. ISSN 0027-8424. 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 1872-4973. 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 0706-652X. 73(8), p. 1271–1280. doi: 10.1139/cjfas-2015-0322. 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 1872-4973. 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 1438-3896. 57(3), p. 473–484. doi: 10.1007/s10144-015-0500-7.
  • 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 978-3-319-02084-6. p. 73–76. doi: 10.1007/978-3-319-02084-6_14.
  • Otero, Jaime; L'Abee-Lund, Jan Henning; Castro-Santos, Ted; Leonardsson, Kjell; Storvik, Geir Olve & Jonsson, Bror [Show all 46 contributors for this article] (2014). Basin-scale phenology and effects of climate variability on global timing of initial seaward migration of Atlantic salmon (Salmo salar). Global Change Biology. ISSN 1354-1013. 20(1), p. 61–75. doi: 10.1111/gcb.12363.
  • Marques, Reinaldo A. Gomes & Storvik, Geir Olve (2013). Particle move-reweighting strategies for online inference. Statistical research report (Universitetet i Oslo. Matematisk institut. ISSN 0806-3842. Full text in Research Archive
  • Rivrud, Inger Maren; Sonkoly, Krisztina; Lehoczki, Róbert; Csányi, Sándor; Storvik, Geir Olve & Mysterud, Atle (2013). Hunter selection and long-term trend (1881-2008) of red deer trophy sizes in Hungary. Journal of Applied Ecology. ISSN 0021-8901. 50(1), p. 168–180. doi: 10.1111/1365-2664.12004.
  • 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 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. ISSN 0714-7937. 69(12), p. 2064–2076. doi: 10.1139/CJFAS-2012-0075.
  • 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 1354-1013. 18(10), p. 3050–3062. doi: 10.1111/j.1365-2486.2012.02733.x.
  • Villar, Jaime Otero; Jensen, Arne Johan; L'abee-Lund, 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 2045-7758. 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 1054-3139. 69(1), p. 64–74. doi: 10.1093/icesjms/fsr172.
  • Villar, Jaime Otero; Jensen, Arne Johan; L'abee-Lund, Jan Henning; Stenseth, Nils Christian; Storvik, Geir Olve & Vøllestad, Leif Asbjørn (2011). Quantifying the Ocean, Freshwater and Human Effects on Year-to-Year Variability of One-Sea-Winter Atlantic Salmon Angled in Multiple Norwegian Rivers. PLOS ONE. ISSN 1932-6203. 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 fade-out of sylvatic plague in Kazakhstan. Proceedings of the Royal Society of London. Biological Sciences. ISSN 0962-8452. 278(1720), p. 2915–2923. doi: 10.1098/rspb.2010.2614.
  • Storvik, Geir Olve (2011). On the flexibility of Metropolis-Hastings acceptance probabilities in auxiliary variable proposal generation. Scandinavian Journal of Statistics. ISSN 0303-6898. 38(2), p. 342–358. doi: 10.1111/j.1467-9469.2010.00709.x.
  • Steinbakk, Gunnhildur Högnadóttir & Storvik, Geir Olve (2009). Posterior Predictive p-values in Bayesian Hierarchical Models. Scandinavian Journal of Statistics. ISSN 0303-6898. 36(2), p. 320–336. doi: 10.1111/j.1467-9469.2008.00630.x.

View all works in Cristin

  • Hubin, Aliaksandr; Frommlet, Florian & Storvik, Geir Olve (2021). Reversible Genetically Modified MCMCs.
  • Hubin, Aliaksandr & Storvik, Geir Olve (2021). Variational Inference for Bayesian Neural Networks under Model and Parameter Uncertainty.
  • Hubin, Aliaksandr & Storvik, Geir Olve (2021). Variational Bayes for inference on model and parameter uncertainty in Bayesian neural networks.
  • Hubin, Aliaksandr; Storvik, Geir Olve & Frommlet, Florian (2020). A novel algorithmic approach to Bayesian Logic Regression.
  • 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 1936-0975. 15(1), p. 312–333. doi: 10.1214/18-ba1141. 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.
  • 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.
  • Hubin, Aliaksandr; Storvik, Geir Olve & Frommlet, Florian (2018). Deep Bayesian regression models.
  • Hubin, Aliaksandr; Storvik, Geir Olve & Frommlet, Florian (2018). Deep Bayesian regression models.
  • 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 Metropolis-Hastings steps.
  • Hubin, Aliaksandr; Storvik, Geir Olve & Frommlet, Florian (2017). Deep non-linear 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 0027-8424. 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.
  • Storvik, Geir Olve (2011). Tilfeldig! Neppe? [Internet]. Forskning.no.
  • Villar, Jaime Otero; Antonsson, Thorulfur; Armstrong, John; Arnason, Fridthjofur; Arnekleiv, Jo Vegar & Baglinière, Jean-Luc [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'Abée-Lund, 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 Metropolis-Hastings 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 Fade-out 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 Real-time 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). Catch-at-age - 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 State-Space Model for Abundance Estimation from Bottom Trawl Data with Applications to Norwegian Winter Survey. Matematisk Institutt, UiO. Full text in Research Archive
  • Rognebakke, Hanne Therese Wist; Hirst, David & Storvik, Geir Olve (2011). Catch-at-age - Version 2.0: Technical Report. Norsk Regnesentral.
  • Rognebakke, Hanne; Hirst, David; Storvik, Geir & Aldrin, Magne (2011). Catch-at-age for multiple stocks: Modelling Skrei and Coastal Cod simultaneously. Norsk Regnesentral.

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Published Nov. 30, 2010 11:20 PM - Last modified Aug. 6, 2020 10:16 AM