Geir Storvik

Geir Storvik

Universitetet i Oslo

H-index: 27

Europe-Norway

About Geir Storvik

Geir Storvik, With an exceptional h-index of 27 and a recent h-index of 17 (since 2020), a distinguished researcher at Universitetet i Oslo, specializes in the field of Statistical computing, spatio-temporal processes, statistical ecology.

His recent articles reflect a diverse array of research interests and contributions to the field:

Sparse Bayesian Neural Networks: Bridging Model and Parameter Uncertainty through Scalable Variational Inference

Variational Inference for Bayesian Neural Networks under Model and Parameter Uncertainty

Exploring Deep Learning Parameter Space with a-GPS: Approximate Gaussian Proposal Sampler

Faster estimation of the Knorr-Held Type IV space-time model

Storvik, Palomares, Engebretsen, Rø, Engø-Monsen, Kristoffersen, de Blasio and Frigessi's reply to the Discussion of ‘The Second Discussion Meeting on Statistical aspects of …

A sequential Monte Carlo approach to estimate a time-varying reproduction number in infectious disease models: the Covid-19 case

Sparsifying Bayesian neural networks with latent binary variables and normalizing flows

A subsampling approach for Bayesian model selection

Geir Storvik Information

University

Position

Professor in Statistics

Citations(all)

3353

Citations(since 2020)

1158

Cited By

2647

hIndex(all)

27

hIndex(since 2020)

17

i10Index(all)

41

i10Index(since 2020)

26

Email

University Profile Page

Universitetet i Oslo

Google Scholar

View Google Scholar Profile

Geir Storvik Skills & Research Interests

Statistical computing

spatio-temporal processes

statistical ecology

Top articles of Geir Storvik

Title

Journal

Author(s)

Publication Date

Sparse Bayesian Neural Networks: Bridging Model and Parameter Uncertainty through Scalable Variational Inference

Mathematics

Aliaksandr Hubin

Geir Storvik

2024/3/7

Variational Inference for Bayesian Neural Networks under Model and Parameter Uncertainty

arXiv preprint arXiv:2305.00934

Aliaksandr Hubin

Geir Storvik

2023/5/1

Exploring Deep Learning Parameter Space with a-GPS: Approximate Gaussian Proposal Sampler

Fabian Meyer Bull

Geir Storvik

Arnt B Salberg

Anne Schistad Solberg

2023/10/13

Faster estimation of the Knorr-Held Type IV space-time model

arXiv preprint arXiv:2304.11851

Fredrik Lohne Aanes

Geir Storvik

2023/4/24

Storvik, Palomares, Engebretsen, Rø, Engø-Monsen, Kristoffersen, de Blasio and Frigessi's reply to the Discussion of ‘The Second Discussion Meeting on Statistical aspects of …

Journal of the Royal Statistical Society Series A: Statistics in Society

Geir Storvik

Alfonso Diz-Lois Palomares

Solveig Engebretsen

Gunnar Øyvind Isaksson Rø

Kenth Engø-Monsen

...

2023/10

A sequential Monte Carlo approach to estimate a time-varying reproduction number in infectious disease models: the Covid-19 case

Journal of the Royal Statistical Society Series A

Geir Storvik

Diz-Lois Palomares Alfonso

Solveig Engebretsen

Gunnar Øyvind Isaksson Rø

Kenth Engø-Monsen

...

2023/4/27

Sparsifying Bayesian neural networks with latent binary variables and normalizing flows

arXiv preprint arXiv:2305.03395

Lars Skaaret-Lund

Geir Storvik

Aliaksandr Hubin

2023/5/5

A subsampling approach for Bayesian model selection

International Journal of Approximate Reasoning

Jon Lachmann

Geir Storvik

Florian Frommlet

Aliaksandr Hubin

2022

Clustering and automatic labelling within time series of categorical observations—with an application to marine log messages

Journal of the Royal Statistical Society Series C: Applied Statistics

Emanuele Gramuglia

Geir Storvik

Morten Stakkeland

2021/6

Reversible Genetically Modified MCMCs

22nd European Young Statisticians Meeting

Aliaksandr Hubin

Geir Storvik

Florian Frommlet

2021

Flexible Bayesian nonlinear model configuration

Journal of Artificial Intelligence Research

Aliaksandr Hubin

Geir Storvik

Florian Frommlet

2021

Reversible genetically modified mode jumping MCMC

Proceedings of 22nd European Young Statisticians Meeting (ISBN: 978-960-7943-23-1)

Aliaksandr Hubin

Florian Frommlet

Geir Storvik

2021/10/11

A Bayesian binomial regression model with latent Gaussian processes for modelling DNA methylation

Austrian Journal of Statistics

Aliaksandr Hubin

Geir O Storvik

Paul E Grini

Melinka A Butenko

2020/4/13

A novel algorithmic approach to Bayesian logic regression (with discussion)

Aliaksandr Hubin

Geir Storvik

Florian Frommlet

2020/3/1

See List of Professors in Geir Storvik University(Universitetet i Oslo)

Co-Authors

H-index: 86
Atle Mysterud

Atle Mysterud

Universitetet i Oslo

H-index: 58
Mikko Heino

Mikko Heino

Universitetet i Bergen

H-index: 57
Leif Asbjørn Vøllestad

Leif Asbjørn Vøllestad

Universitetet i Oslo

H-index: 55
Thore Egeland

Thore Egeland

Norges miljø- og biovitenskapelige universitet

H-index: 49
Arvid Lundervold, BSc, MD, PhD

Arvid Lundervold, BSc, MD, PhD

Universitetet i Bergen

H-index: 45
Arnoldo Frigessi

Arnoldo Frigessi

Universitetet i Oslo

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