Geir Olve Storvik
Professor

Statistikk og Data Science
English version of this page
Epost
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 1026597X. 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 ChIPseq peaks on graphbased reference genomes. PLoS Computational Biology. ISSN 1553734X. 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 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 & 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 19360975. 15(1), s 312 333 . doi: 10.1214/18ba1141 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