Sigrunn H Sørbye
Biographic Data
| ID | 7918411 |
|---|---|
| NAME | Sigrunn H Sørbye |
| GIVEN NAMES | Sigrunn H |
| FAMILY NAME | Sørbye |
| SIGNATURE | SØRBYE S H |
| AFFILIATIONS | UiT The Arctic University of Norway |
| ORCID | 0000-0002-5818-1508 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2006 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Seafood production in Northern Norway
Norway is one of the leading ocean-based food production nations. Its seafood industry comprises wild-capture fisheries and farmed fish production. Both industries play a provisional role but also contribute to economic development of the country and help sustain coastal communities, particularly, in Northern Norway. Coastal fishery has been the staple industry in Northern Norway for centuries, while aquaculture complemented the seafood productio…
Estimation of Excess Mortality and Years of Life Lost to Covid-19 in Norway and Sweden between March and November 2020
We estimate the weekly excess all-cause mortality in Norway and Sweden, the years of life lost (YLL) attributed to COVID-19 in Sweden, and the significance of mortality displacement. We computed the expected mortality by taking into account the declining trend and the seasonality in mortality in the two countries over the past 20 years. From the excess mortality in Sweden in 2019/20, we estimated the YLL attributed to COVID-19 using the life expe…
Penalising Model Component Complexity
In this paper, we introduce a new concept for constructing prior distributions. We exploit the natural nested structure inherent to many model components, which defines the model component to be a flexible extension of a base model. Proper priors are defined to penalise the complexity induced by deviating from the simpler base model and are formulated after the input of a user-defined scaling parameter for that model component, both in the univar…
An intuitive Bayesian spatial model for disease mapping that accounts for scaling
In recent years, disease mapping studies have become a routine application within geographical epidemiology and are typically analysed within a Bayesian hierarchical model formulation. A variety of model formulations for the latent level have been proposed but all come with inherent issues. In the classical BYM (Besag, York and Mollié) model, the spatially structured component cannot be seen independently from the unstructured component. This mak…
Religious Faith, Lifestyle And Health – An Empirical Study Of The People Of Oslo
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Religious Faith, Lifestyle And Health – An Empirical Study Of The People Of Oslo
An intuitive Bayesian spatial model for disease mapping that accounts for scaling
In recent years, disease mapping studies have become a routine application within geographical epidemiology and are typically analysed within a Bayesian hierarchical model formulation. A variety of model formulations for the latent level have been proposed but all come with inherent issues. In the classical BYM (Besag, York and Mollié) model, the spatially structured component cannot be seen independently from the unstructured component. This mak…
Penalising Model Component Complexity
In this paper, we introduce a new concept for constructing prior distributions. We exploit the natural nested structure inherent to many model components, which defines the model component to be a flexible extension of a base model. Proper priors are defined to penalise the complexity induced by deviating from the simpler base model and are formulated after the input of a user-defined scaling parameter for that model component, both in the univar…
Estimation of Excess Mortality and Years of Life Lost to Covid-19 in Norway and Sweden between March and November 2020
We estimate the weekly excess all-cause mortality in Norway and Sweden, the years of life lost (YLL) attributed to COVID-19 in Sweden, and the significance of mortality displacement. We computed the expected mortality by taking into account the declining trend and the seasonality in mortality in the two countries over the past 20 years. From the excess mortality in Sweden in 2019/20, we estimated the YLL attributed to COVID-19 using the life expe…
Seafood production in Northern Norway
Norway is one of the leading ocean-based food production nations. Its seafood industry comprises wild-capture fisheries and farmed fish production. Both industries play a provisional role but also contribute to economic development of the country and help sustain coastal communities, particularly, in Northern Norway. Coastal fishery has been the staple industry in Northern Norway for centuries, while aquaculture complemented the seafood productio…
Artificial Intelligence (2 works) · Bayesian probability (2 works) · Component (thermodynamics) (2 works) · Computer Science (2 works) · Machine learning (2 works) · Prior probability (2 works) · Adversarial Robustness in Machine Learning (1 works) · Algorithm (1 works) · Aquaculture (1 works) · Bayesian inference (1 works)