Magnus Ekström

Swedish University of Agricultural Sciences — Sweden

Mathematics · Physical Sciences

20h-index1.1kcitations73works5.72yr avg
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Research Topics

Statistical Methods and Inference(17), Statistical Distribution Estimation and Applications(13), Advanced Statistical Methods and Models(13), Forest ecology and management(12), Remote Sensing and LiDAR Applications(10)

Publications73 total

Updating forest maps through data assimilation using remotely sensed data and regression methods designed to avoid bias trends
Canadian Journal of Remote Sensing·2026Open Access
A Closer Look at Uncertainties in Forest Ecosystem Surveys Using Remotely Sensed Data and Model-Based Inference
SSRN Electronic Journal·2025Open Access
Restrictive Spirometric Pattern and Preserved Ratio Impaired Spirometry in a Population Aged 50–64 Years
Annals of the American Thoracic Society·2024· 8 citedOpen Access
Trajectories of Activities of Daily Living for Patients with Advanced Cancer Beyond the Last Eight Weeks of Life. Implications for Palliative Rehabilitation
Palliative Medicine Reports·2024· 1 citedOpen Access
Computation of prediction intervals for forest aboveground biomass predictions using generalized linear models in a large-extent boreal forest region
Forestry An International Journal of Forest Research·2024· 1 citedOpen Access
Why ecosystem characteristics predicted from remotely sensed data are unbiased and biased at the same time – and how this affects applications
Forest Ecosystems·2024· 24 citedOpen Access
Estimation of plant density based on presence/absence data using hybrid inference
Ecological Informatics·2023· 7 citedOpen Access
Comparing TanDEM-X InSAR Forest Stand Volume Prediction Models Trained Using Field and ALS Data
2023
Quantile regression with interval-censored data in questionnaire-based studies
Computational Statistics·2022· 1 citedOpen Access
Influence of canopy structure and light on the three-dimensional distribution of the iconic lichen Usnea longissima
Forest Ecology and Management·2022· 14 citedOpen Access
Quantify and account for field reference errors in forest remote sensing studies
Remote Sensing of Environment·2022· 19 citedOpen Access
Comparing frameworks for biomass prediction for the Global Ecosystem Dynamics Investigation
Remote Sensing of Environment·2022· 33 citedOpen Access
Tests of stochastic dominance with repeated measurements data
AStA Advances in Statistical Analysis·2022· 1 citedOpen Access
Self-selected interval judgments compared to point judgments: A weight judgment experiment in the presence of the size-weight illusion
PLoS ONE·2022· 1 citedOpen Access
Multiple drivers of large‐scale lichen decline in boreal forest canopies
Global Change Biology·2022· 26 citedOpen Access
A Comparison of Model-Assisted Estimators, With and Without Data-Driven Transformations of Auxiliary Variables, With Application to Forest Inventory
Frontiers in Forests and Global Change·2021· 7 citedOpen Access
Rapid Changes in Ground Vegetation of Mature Boreal Forests—An Analysis of Swedish National Forest Inventory Data
Forests·2021· 16 citedOpen Access
Presence–absence sampling for estimating plant density using survey data with variable plot size
Methods in Ecology and Evolution·2020· 4 citedOpen Access
Estimating density from presence/absence data in clustered populations
Methods in Ecology and Evolution·2020· 5 cited
Four-decision tests for stochastic dominance, with an application to environmental psychophysics
Journal of Mathematical Psychology·2019· 4 citedOpen Access
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Frequent Co-authors

Göran Ståhl(13), Anton Grafström(9), Per‐Anders Esseen(7), Bengt Gunnar Jonsson(6), Bertil Westerlund(5), Per‐Anders Esseen(4), Bengt‐Gunnar Jonsson(4), Kristin Palmqvist(3), S. Rao Jammalamadaka(3), Jonas Dahlgren(3), Angel G. Angelov(3), Svetlana Saarela(2), Sean P. Healey(2), Terje Gobakken(2), Erik Næsset(2), Jun Yu(2), Henrik Persson(2), Saskia Sandring(2), Gun Lidestav(1), Åke Sjödin(1)