Ingelin Steinsland
Ingelin Steinsland
Professor. Vice Dean of research
Department of Mathematical Sciences Faculty of Information Technology and Electrical EngineeringBackground and activities
Ingelin Steinsland (1974) is professor at the Department of Mathematical Sciences. She is a member of the the Statistics group. Professor Steinsland has a MSc in Industrial Mathematics and a PhD in Statistics from NTNU. She is the Vice Dean of research at the Faculty of Information Technology and Electrical Engineering.
Research
Aim of research: Ingelin Steinsland aims to introduce new statistical methods and knowledge to applied scientists, and develop statistical methods and knowledge based on problems from applied scientists. She has a special focus on models and methods for large datasets. Steinsland has two key applications; forecasting for physical systems, especially hydrology and quantitative genetics.
Work Experience
- 2017- Vice Dean of research, Faculty of Information Technology and Electrical Engineering, NTNU
- 2014- Professor of Statistics, Dept. of Mathematical Sciences, NTNU
- 2008-2014 Associate Professor, Dept. of Mathematical Sciences, NTNU
- 2008- Advisor, SINTEF Energy Research (part time)
- 2006-2007: Researcher SINTEF Energy Research
- 2004-2006 Post Doctor, Dept.of Mathematical Sciences, NTNU. Project: Markov chain Monte Carlo methods in quantitative genetics
- 2003-2004 Associate Professor (temporary), Dept. of Mathematical Sciences, NTNU
- 1998-1999 Software developer in a start-up (VoxelVision AS)
Visiting researcher
- 2009-2010 Visiting scholar at Department of Statistics, Stanford University, USA
- 2009-2010 Visiting professor at SAMSI/Duke University, North Carolina, USA
- 2001-2002 Visiting post graduate at Department of Statistics, Trinity College, Ireland
Scientific, academic and artistic work
A selection of recent journal publications, artistic productions, books, including book and report excerpts. See all publications in the database
Journal publications
- (2019) Twenty-three unsolved problems in hydrology (UPH) – a community perspective. Hydrological Sciences Journal. vol. 64 (10).
- (2019) Streamflow forecast sensitivity to air temperature forecast calibration for 139 Norwegian catchments. Hydrology and Earth System Sciences. vol. 23 (2).
- (2019) Flexible modelling of spatial variation in agricultural field trials with the R package INLA. Theoretical and Applied Genetics. vol. 132 (12).
- (2018) Benefits of spatiotemporal modeling for short-term wind power forecasting at both individual and aggregated levels. Environmetrics. vol. 29 (3).
- (2017) Bayesian Model Averaging for Wind Speed Ensemble Forecasts Using Wind Speed and Direction. Weather and forecasting. vol. 32 (6).
- (2016) Effects of uncertainties in hydrological modelling. A case study of a mountainous catchment in Southern Norway. Journal of Hydrology. vol. 536.
- (2016) Is my study system good enough? A case study for identifying maternal effects. Ecology and Evolution. vol. 6 (11).
- (2016) Spatial modeling with system of stochastic partial differential equations. Wiley Interdisciplinary Reviews: Computational Statistics. vol. 8 (2).
- (2015) Weather SDM: estimating snow density with high precision using snow depth and local climate. Hydrology Research. vol. 46 (4).
- (2015) Estimation of a non-stationary model for annual precipitation in southern Norway using replicates of the spatial field. Spatial Statistics. vol. 14 C.
- (2014) Probabilistic postprocessing models for flow forecasts for a system of catchments and several lead times. Water Resources Research. vol. 50 (1).
- (2014) On estimation and identifiability issues of sex-linked inheritance with a case study of pigmentation in Swiss barn owl (Tyto alba). Ecology and Evolution. vol. 4 (9).
- (2014) Quantitative genetic modeling and inference in the presence of nonignorable missing data. Evolution. vol. 68 (6).
- (2013) Animal Models and Integrated Nested Laplace Approximations. G3: Genes, Genomes, Genetics. vol. 3 (8).
- (2013) Spatial models with explanatory variables in the dependence structure. Spatial Statistics. vol. 8.
- (2011) Comparing and Blending Regional Climate Model Predictions for the American Southwest. Journal of Agricultural Biological and Environmental Statistics. vol. 16 (4).
- (2010) Evaluation of statistical models for forecast errors from the HBV model. Journal of Hydrology. vol. 384 (1-2).
- (2010) Utilizing Gaussian Markov Random Field Properties of Bayesian Animal models. Biometrics. vol. 66 (3).
- (2008) Evolutionary dynamics of a sexual ornament in the house sparrow (Passer domesticus): The role of indirect selection within and between sexes. Evolution. vol. 62.
- (2007) Parallel exact sampling and evaluation of Gaussian Markov random fields. Computational Statistics & Data Analysis. vol. 51 (6).