Johan Lindström

Johan Lindström

Senior lecturer

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Personal profile


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):

  • SDG 3 - Good Health and Well-being
  • SDG 11 - Sustainable Cities and Communities
  • SDG 13 - Climate Action
  • SDG 15 - Life on Land

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

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