Geir Olve Storvik
Professor
-
Statistikk og Data Science

English version of this page
E-post
geirs@math.uio.no
Telefon
+47 22855894
Mobiltelefon
45201667
Rom
818
Brukernavn
Besøksadresse
Moltke Moes vei 35
Niels Henrik Abels hus
0851 Oslo
Postadresse
Postboks 1053 Blindern
0316 Oslo
Research interests: Data Science and Computational statistics, Bayesian hierarchial modelling, biological applications, Bayesian Machine Learning
Publikasjoner
- 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), s 46- 56 . doi: 10.17713/ajs.v49i4.1124 Fulltekst i vitenarkiv. Vis sammendrag
- 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), s 1- 13 . doi: 10.1371/journal.pcbi.1006731 Fulltekst i vitenarkiv.
- 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 978-985-566-811-5. 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 & Frommlet, Florian (2020). A novel algorithmic approach to Bayesian Logic Regression. Vis sammendrag
- 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), s 312- 333 . doi: 10.1214/18-ba1141 Vis sammendrag
- 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. Vis sammendrag
- 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. Vis sammendrag
- 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.
Publisert 13. nov. 2010 14:06
- Sist endret 6. aug. 2020 10:16