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 and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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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 -
A robust Bayesian bias-adjusted random effects model for consideration of uncertainty about bias terms in evidence synthesis
Raices Cruz, I., Troffaes, M. C. M., Lindström, J. & Sahlin, U., 2022 Jul 30, In: Statistics in Medicine. 41, 17, p. 3365-3379 15 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Iterative importance sampling with Markov chain Monte Carlo sampling in robust Bayesian analysis
Raices Cruz, I., Lindström, J., Troffaes, M. C. M. & Sahlin, U., 2022 Dec, In: Computational Statistics and Data Analysis. 176, 107558.Research output: Contribution to journal › Article › peer-review
Open Access -
Mid-Holocene European climate revisited: New high-resolution regional climate model simulations using pollen-based land-cover
Strandberg, G., Lindström, J., Poska, A., Zhang, Q., Fyfe, R., Githumbi, E., Kjellström, E., Mazier, F., Nielsen, A. B., Sugita, S., Trondman, A. K., Woodbridge, J. & Gaillard, M. J., 2022 Apr 1, In: Quaternary Science Reviews. 281, 107431.Research output: Contribution to journal › Article › peer-review
Open Access
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Statistical modelling of wave powerplants
Zeinali, S., Wiktorsson, M. & Lindström, J.
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., Jamali, S., Müller, M., Zhao, P., Svystun, T., Jönsson, A. M., Lindström, J., Persson, A., Mansourian, A. & Ardö, J.
2021/01/01 → 2024/12/31
Project: Research
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The air we breathe – Theme 2.0, PufendorfIAS
Swietlicki, E., Oudin, A., Miller, P., Kljun, N., Malmqvist, E., Hildingsson, R., Aits, S., May, W., Scholze, M., Roldin, P., Lindström, J., Kristensson, A. & Friberg, J.
2021/08/01 → 2021/12/31
Project: Network
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PAGES LandCover6k fast track project 2020-2021
Gaillard-Lemdahl, M. J., Lindström, J., Githumbi, E. & Pirzamanbein, B.
2021/01/01 → 2021/07/01
Project: Research
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MERGE SP: Pollen-based maps of plant migration in Europe during the Holocene: Creating a dataset for the evaluation of migration models in dynamic vegetation models
Lindström, J., Nielsen, A. B., Poska, A., Githumbi, E. & Gaillard-Lemdahl, M. J.
2020/09/01 → 2021/06/01
Project: Research
Activities
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Fog detection using artificial neural networks
Johan Lindström (First/primary/lead supervisor) & Joakim Viklund (Second supervisor)
2023Activity: Examination and supervision › Supervision of masters students
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Reconstruction of Fire Spread with a Markov Random Field Mixture Model
Johan Lindström (First/primary/lead supervisor)
2023Activity: Examination and supervision › Supervision of masters students
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Computer Vision for Automated Traffic Safety Assessment: A Machine Learning Approach
Johan Lindström (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
Johan Lindström (Commissioned member of Examining committee)
2022 Jun 13Activity: Examination and supervision › External Reviewer of PhD thesis/Opponent
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Statistical modelling of wave powerplants
Johan Lindström (First/primary/lead supervisor) & Magnus Wiktorsson (Second supervisor)
2022 Jan 10 → 2027 Jan 9Activity: Examination and supervision › Supervision of PhD students