8 citations · 25 across the 12 of their papers we have counts for
12 papers
On the spatial statistics of free-surface turbulence and the complementarity of 'dimples' and 'scars'
Daniel R. Kjellevold, Jørgen R. Aarnes, Omer M. Babiker +2
The air--water interface governs the exchange of heat and gas between natural water bodies and their surrounding environment. Turbulence beneath the free surface imprints character…
A Spatial-statistical model to analyse historical rutting data
Natoya O. A. S. Jourdain, Ingelin Steinsland, Mamoona Birkhez-Shami +5
Pavement rutting poses a significant challenge in flexible pavements, necessitating costly asphalt resurfacing. To address this issue comprehensively, we propose an advanced Bayesi…
New spatial models for integrating standardized detection-nondetection and opportunistic presence-only data: application to estimating risk factors associated to powerline-induced death of birds
Jorge Sicacha-Parada, Diego Pavon-Jordan, Ingelin Steinsland +2
The constant increase in energy consumption has created the necessity of extending the energy transmission and distribution network. Placement of powerlines represent a risk for bi…
Learning Physics between Digital Twins with Low-Fidelity Models and Physics-Informed Gaussian Processes
Michail Spitieris, Ingelin Steinsland
A digital twin is a computer model that represents an individual, for example, a component, a patient or a process. In many situations, we want to gain knowledge about an individua…
A Shared Parameter Model for Systolic Blood Pressure Accounting for Data Missing Not at Random in the HUNT Study
Aurora Christine Hofman, Lars Espeland, Ingelin Steinsland +1
In this work, blood pressure eleven years ahead is modeled using data from a longitudinal population-based health survey, the Trondelag Health (HUNT) Study, while accounting for mi…
Bayesian calibration of Arterial Windkessel Model
Michail Spitieris, Ingelin Steinsland, Emma Ingestrom
This work is motivated by personalized digital twins based on observations and physical models for treatment and prevention of Hypertension. The models commonly used are simplifica…
Bayesian Calibration of Imperfect Computer Models using Physics-Informed Priors
Michail Spitieris, Ingelin Steinsland
We introduce a computational efficient data-driven framework suitable for quantifying the uncertainty in physical parameters and model formulation of computer models, represented b…
Quantile based modelling of diurnal temperature range with the five-parameter lambda distribution
Silius M. Vandeskog, Thordis L. Thorarinsdottir, Ingelin Steinsland +1
Diurnal temperature range is an important variable in climate science that can provide information regarding climate variability and climate change. Changes in diurnal temperature…
A spatial modeling framework for monitoring surveys with different sampling protocols with a case study for bird abundance in mid-Scandinavia
Jorge Sicacha-Parada, Diego Pavon-Jordan, Ingelin Steinsland +3
We present a new methodology to model total abundance by merging count data information from surveys with different sampling protocols. The proposed methods are used for data from…
Accounting for spatial varying sampling effort due to accessibility in Citizen Science data: A case study of moose in Norway
J. Sicacha-Parada, I. Steinsland, B. Cretois +1
Citizen Scientists together with an increasing access to technology provide large datasets that can be used to study e.g. ecology and biodiversity. Unknown and varying sampling eff…
A geostatistical two field model that combines point observations and nested areal observations, and quantifies long-term spatial variability -- A case study of annual runoff predictions in the Voss area
Thea Roksvåg, Ingelin Steinsland, Kolbjørn Engeland
In this study, annual runoff is estimated by using a Bayesian geostatistical model for interpolation of hydrological data of different spatial support. That is, streamflow observat…
Estimation of a non-stationary model for annual precipitation in southern Norway using replicates of the spatial field
Rikke Ingebrigtsen, Finn Lindgren, Ingelin Steinsland +1
Estimation of stationary dependence structure parameters using only a single realisation of the spatial process, typically leads to inaccurate estimates and poorly identified param…