Research output per year
Research output per year
Personal profile
Research
My research focuses on the statistical methods for spatial data with a focus on climate and environmental applications. Most of the work uses Gaussian Markov Random Fields as components of Bayesian hierarchical models often using MCMC, EM or INLA for estimation. My main intradisciplinary focus is on computational methods for large models and datasets.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
UKÄ subject classification
- Probability Theory and Statistics
- Climate Research
- Environmental Sciences
Free keywords
- Spatial statistics
- Gaussian Markov Random Fields
- Simulation based inference
- Computational statistics
- Bayesian hierarchical models
- Numerical linear algebra
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Collaborations the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Optimizing the hydraulic power take-off system in a wave energy converter
Zeinali, S., Wiktorsson, M., Forsberg, J., Lindgren, G. & Lindström, J., 2024 Oct 15, In: Ocean Engineering. 310, 118636.Research output: Contribution to journal › Article › peer-review
Open Access -
Optimising CH4 simulations from the LPJ-GUESS model v4.1 using an adaptive Markov chain Monte Carlo algorithm
Kallingal, J. T., Lindström, J., Miller, P. A., Rinne, J., Raivonen, M. & Scholze, M., 2024 Mar 20, In: Geoscientific Model Development. 17, 6, p. 2299-2324 26 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Did the Bronze Age deforestation of Europe affect its climate? A regional climate model study using pollen-based land cover reconstructions
Strandberg, G., Chen, J., Fyfe, R., Kjellström, E., Lindström, J., Poska, A., Zhang, Q. & Gaillard, M. J., 2023 Jul, In: Climate of the Past. 19, 7, p. 1507-1530 24 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Recursive Spatial Covariance Estimation with Sparse Priors for Sound Field Interpolation
Sundstrom, D., Lindstrom, J. & Jakobsson, A., 2023, Proceedings of the 22nd IEEE Statistical Signal Processing Workshop, SSP 2023. IEEE - Institute of Electrical and Electronics Engineers Inc., p. 517-521 5 p. (IEEE Workshop on Statistical Signal Processing Proceedings; vol. 2023-July).Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review
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Arbitrary position 3D tomography for practical application in combustion diagnostics
Sanned, D., Lindström, J., Roth, A., Aldén, M. & Richter, M., 2022 Dec, In: Measurement Science and Technology. 33, 12, 125206.Research output: Contribution to journal › Article › peer-review
Open Access
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eSSENCE@LU 10:4 - POLLENOMICS: Decoding the farming history of Europe using advanced statistics to combine ancient DNA with paleo-pollen data
Pirzamanbein, B. (PI), Elhaik, E. (Researcher), Poska, A. (Researcher) & Lindström, J. (Researcher)
2024/01/01 → 2025/12/31
Project: Research
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ELLIIT Focus Period: Machine Learning for Climate Science
Lindsten, F. (PI), Kljun, N. (CoI), Felsberg, M. (CoI) & Lindström, J. (CoI)
2023/06/01 → 2024/12/31
Project: Research
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Statistical modelling of wave powerplants
Zeinali, S. (Researcher), Wiktorsson, M. (Assistant supervisor) & Lindström, J. (Supervisor)
2022/01/10 → 2027/01/09
Project: Dissertation
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Near real-time monitoring and risk mapping of spruce bark beetle attacks - an integrated framework based on remote sensing, geodata and modelling
Olsson, P.-O. (PI), Jamali, S. (Researcher), Müller, M. (Researcher), Zhao, P. (Researcher), Svystun, T. (Researcher), Jönsson, A. M. (Researcher), Lindström, J. (Researcher), Persson, A. (Researcher), Mansourian, A. (Researcher) & Ardö, J. (Researcher)
2021/01/01 → 2024/12/31
Project: Research
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The air we breathe – Theme 2.0, PufendorfIAS
Swietlicki, E. (Researcher), Oudin, A. (Researcher), Miller, P. (Researcher), Kljun, N. (Researcher), Malmqvist, E. (Researcher), Hildingsson, R. (Researcher), Aits, S. (Researcher), May, W. (Researcher), Scholze, M. (Researcher), Roldin, P. (Researcher), Lindström, J. (Researcher), Kristensson, A. (Researcher) & Friberg, J. (Researcher)
2021/08/01 → 2021/12/31
Project: Network
Activities
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ClimBEco steering committee
Sjöström, C. (Chair), Kong, X. (Deputy chair), Hansson, M. (Member), Gustafson, A. (Member), Isaksson, C. (Member), Bacon, C. (Member), Enström, E. (Member), Ekström, H. (Deputy member), Friberg, J. (Member), Lindström, J. (Member), Stadmark, J. (Member), Droste, N. (Member), Singh, S. (Member) & Krause, T. (Member)
2024 Jan 1 → 2025 Dec 31Activity: Consultancy, expert advice and memberships › Member of board/committee/council etc
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Reconstruction of Fire Spread with a Markov Random Field Mixture Model
Lindström, J. (First/primary/lead supervisor)
2023Activity: Examination and supervision › Supervision of masters students
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Fog detection using artificial neural networks
Lindström, J. (First/primary/lead supervisor) & Viklund, J. (Second supervisor)
2023Activity: Examination and supervision › Supervision of masters students
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Computer Vision for Automated Traffic Safety Assessment: A Machine Learning Approach
Lindström, J. (Commissioned member of Examining committee)
2022 Sept 16Activity: Examination and supervision › External Reviewer of PhD thesis/Opponent
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Data-Efficient Learning of Semantic Segmentation
Lindström, J. (Commissioned member of Examining committee)
2022 Jun 13Activity: Examination and supervision › External Reviewer of PhD thesis/Opponent