I. Steinsland

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Norges Teknisk-naturvitenskapelige Universitet Approximating Hidden Gaussian Markov Random Fields Approximating Hidden Gaussian Markov Random Fields

H. Rue, I. Steinsland, S. Erland, 2003 .

Twenty-three unsolved problems in hydrology (UPH) – a community perspective

M. P. González-Dugo, Ronald R. P. van Nooijen, Pablo Borges de Amorim, 2019, Hydrological Sciences Journal.

Estimation of annual runoff by exploiting long-term spatial patterns and short records within a geostatistical framework

I. Steinsland, K. Engeland, Thea Roksvåg, 2020 .

Estimation of a non-stationary model for annual precipitation in southern Norway using replicates of the spatial field

S. Martino, F. Lindgren, I. Steinsland, 2014, 1412.2798.

Spatial models with explanatory variables in the dependence structure

F. Lindgren, I. Steinsland, R. Ingebrigtsen, 2014 .

Bayesian Model Averaging for Wind Speed Ensemble Forecasts Using Wind Speed and Direction

Siri S. Eide, I. Steinsland, J. B. Bremnes, 2017 .

Parallel sampling of GMRFs and geostatistical GMRF models

I. Steinsland, 2003 .

Effects of uncertainties in hydrological modelling. A case study of a mountainous catchment in Southern Norway

I. Steinsland, K. Engeland, S. Kolberg, 2016 .

Collapsed Blocks Approximations

I. Steinsland, 2005 .

Weather SDM: estimating snow density with high precision using snow depth and local climate

Knut Sand, Ingelin Steinsland, Glen E. Liston, 2015 .

Making Inference from Bayesian Animal Models utilising Gaussian Markov Random Field properties

I. Steinsland, H. Jensen, 2005 .

Spatial modelling improves genetic evaluation in smallholder breeding programs

I. Steinsland, J. Hickey, G. Gorjanc, 2020, bioRxiv.

Spatial modelling improves genetic evaluation in smallholder breeding programs

I. Steinsland, J. Hickey, G. Gorjanc, 2020, Genetics, selection, evolution : GSE.

Hierarchical modeling of haplotype effects based on a phylogeny

F. Lindgren, I. Steinsland, V. Cubric-Curik, 2020, bioRxiv.

Flexible modelling of spatial variation in agricultural field trials with the R package INLA

I. Steinsland, J. Hickey, G. Gorjanc, 2019, Theoretical and Applied Genetics.

Inflow Forecasting for Hydropower Operations: Bayesian Model Averaging for Postprocessing Hydrological Ensembles

I. Steinsland, A. Kleiven, 2018, Proceedings of the 6th International Workshop on Hydro Scheduling in Competitive Electricity Markets.

Mixture models for flood frequency analysis

T. Thorarinsdottir, I. Steinsland, K. Engeland, 2017 .

Comparing and Blending Regional Climate Model Predictions for the American Southwest

Dorit Hammerling, Andrew O. Finley, Paul L. Delamater, 2011 .

Streamflow forecast sensitivity to air temperature forecast calibration for 139 Norwegian catchments

L. Tallaksen, I. Steinsland, K. Engeland, 2018, Hydrology and Earth System Sciences.

Learning Physics between Digital Twins with Low-Fidelity Models and Physics-Informed Gaussian Processes

I. Steinsland, Michail Spitieris, 2022, 2206.08201.

Bayesian Calibration of imperfect computer models using Physics-informed priors

I. Steinsland, Michail Spitieris, 2022, ArXiv.

Quantile based modeling of diurnal temperature range with the five‐parameter lambda distribution

Silius M. Vandeskog, F. Lindgren, T. Thorarinsdottir, 2021, Environmetrics.

Learning Physics between Digital Twins with Low-Fidelity Models and Physics-Informed Gaussian Processes

I. Steinsland, Michail Spitieris, 2022, ArXiv.

Can machine learning improve risk prediction of incident hypertension? An internal method comparison and external validation of the Framingham risk model using HUNT Study data

F. Lindseth, I. Steinsland, F. Schjerven, 2022, medRxiv.

A two‐field geostatistical model combining point and areal observations—A case study of annual runoff predictions in the Voss area

I. Steinsland, K. Engeland, Thea Roksvåg, 2021, Journal of the Royal Statistical Society: Series C (Applied Statistics).

A knowledge based spatial model for utilizing point and nested areal observations: A case study of annual runoff predictions in the Voss area

I. Steinsland, K. Engeland, Thea Roksvåg, 2019 .

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

I. Steinsland, K. Engeland, Thea Roksvaag, 2019, 1904.02519.

Benefits of spatiotemporal modeling for short‐term wind power forecasting at both individual and aggregated levels

Pierre Pinson, Amanda Lenzi, Ingelin Steinsland, 2017, 1704.07606.

Spatial modeling with system of stochastic partial differential equations

Xiangping Hu, Ingelin Steinsland, I. Steinsland, 2016 .

Utilizing Gaussian Markov Random Field Properties of Bayesian Animal Models

Henrik Jensen, Ingelin Steinsland, I. Steinsland, 2010, Biometrics.

A geostatistical framework for estimating flow indices by exploiting short records and long-term spatial averages – Application to annual and monthly runoff

I. Steinsland, K. Engeland, Thea Roksvåg, 2019 .

Animal Models and Integrated Nested Laplace Approximations

Sara Martino, Ingelin Steinsland, S. Martino, 2013, G3: Genes, Genomes, Genetics.

A Spatial Modeling Framework for Monitoring Surveys with Different Sampling Protocols with a Case Study for Bird Abundance in Mid-Scandinavia

I. Steinsland, R. May, B. Stokke, 2021, Journal of Agricultural, Biological and Environmental Statistics.

Parallel exact sampling and evaluation of Gaussian Markov random fields

Ingelin Steinsland, I. Steinsland, 2007, Comput. Stat. Data Anal..

On estimation and identifiability issues of sex-linked inheritance with a case study of pigmentation in Swiss barn owl (Tyto alba)

I. Steinsland, A. Roulin, H. Jensen, 2014, Ecology and evolution.

Sex-dependent selection on an autosomal melanic female ornament promotes the evolution of sex ratio bias.

Res Altwegg, Alexandre Roulin, Michael Schaub, 2010, Ecology letters.

Evolutionary Dynamics of a Sexual Ornament in the House Sparrow (Passer domesticus): The Role of Indirect Selection Within and Between Sexes

I. Steinsland, B. Sæther, T. Ringsby, 2008, Evolution; international journal of organic evolution.

Modeling dependency structures in 450k DNA methylation data

Y. Benjamini, R. Lyle, J. Kaprio, 2021, Bioinform..

Is my study system good enough? A case study for identifying maternal effects

I. Steinsland, A. Holand, 2016, Ecology and evolution.

QUANTITATIVE GENETIC MODELING AND INFERENCE IN THE PRESENCE OF NONIGNORABLE MISSING DATA

I. Steinsland, A. Roulin, H. Jensen, 2014, Evolution; international journal of organic evolution.

Hierarchical Modelling of Haplotype Effects on a Phylogeny

F. Lindgren, I. Steinsland, V. Cubric-Curik, 2021, Frontiers in Genetics.

TEKNISK-NATURVITENSKAPELIGE UNIVERSITET Animal models and Integrated Nested Laplace Approximations by

S. Martino, I. Steinsland, H. Jensen, 2011 .

Proteolytic activity and properties of proteins in smoked salmon (Salmo salar)—effects of smoking temperature

Torstein Skåra, Turid Rustad, Ingelin Steinsland, 2004 .

Pre- and postprocessing flood forecasts using Bayesian model averaging

A. Singleton, I. Steinsland, K. Engeland, 2023, Hydrology Research.

Repeatability in a multiphase pipe flow case study

I. Steinsland, C. Brekken, A. Strand, 2021, International Journal of Multiphase Flow.

Evaluation of statistical models for forecast errors from the HBV model

Benjamin Renard, Sjur Kolberg, Kolbjørn Engeland, 2010 .

A geostatistical spatially varying coefficient model for mean annual runoff that incorporates process-based simulations and short records

I. Steinsland, K. Engeland, Thea Roksvåg, 2021, Hydrology and Earth System Sciences.

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, 2019, Spatial Statistics.

Probabilistic postprocessing models for flow forecasts for a system of catchments and several lead times

Kolbjørn Engeland, Ingelin Steinsland, I. Steinsland, 2014 .

Bayesian calibration of Arterial Windkessel Model

Ingelin Steinsland, Michail Spitieris, Emma Ingestrom, 2022, 2201.06883.

The benefits of pre- and postprocessing streamflow forecasts for an operational flood-forecasting system of 119 Norwegian catchments

A. Singleton, I. Steinsland, K. Engeland, 2021 .

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

I. Steinsland, Diego Pavón‐Jordán, Jorge Sicacha-Parada, 2023, 2303.02088.

Uncertainty Propagation through a Point Model for Steady-State Two-Phase Pipe Flow

Ivar Eskerud Smith, Andreas Strand, T. E. Unander, 2020, Algorithms.

Spatial Modelling of Temperature and Humidity using Systems of Stochastic Partial Differential Equations

Haavard Rue, Daniel Simpson, Sara Martino, 2013, 1307.1402.

Bayesian Calibration of imperfect computer models using Physics-informed priors

I. Steinsland, Michail Spitieris, 2022, J. Mach. Learn. Res..

Approximating hidden Gaussian Markov random fields

H. Rue, I. Steinsland, S. Erland, 2004 .

A Shared Parameter Model for Systolic Blood Pressure Accounting for Data Missing Not at Random in the HUNT Study

I. Steinsland, A. Hofman, Emma M. L. Ingestrom, 2022, 2203.16602.

Parameter estimation for a deformable template model

H. Rue, M. Hurn, I. Steinsland, 2001, Stat. Comput..

A Spatial-statistical model to analyse historical rutting data

I. Steinsland, D. Gryteselv, A. Klein-Paste, 2024, 2401.03633.

Animal Models and Integrated Nested Laplace Approximations

I. Steinsland, Anna Marie Holand, Sara Martino, 2013, G3: Genes, Genomes, Genetics.

Development of risk models of incident hypertension using machine learning on the HUNT study data

I. Steinsland, Emma Ingeström, Frank Lindseth, 2024, Scientific reports.