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Personal profile


General research concerns multivariate techniques for studying the simultaneous behavior and effects of numerous variables and large samples of complex structure in a subject area related context. We study distributional properties, estimation and testing methods in connection with multivariate linear or nonlinear multilevel mixed models with latent structures and endogenous factors. Such techniques are applied to panel data analysis of rural development of the agricultural structural transformation in Africa. Another area is within studies of diversification of income sources among farm households in Vietnam, to study the impact on agricultural transformation, economic growth and development in time.

Other branches concern the statistical analysis of data with certain natural restrictions. This includes efficient methods to combine and smooth diverging results from many election polls carried out by different organizations. Other problems concern modelling of clusters in directional data or orientation data with restrictions due to spatial boundaries. 


My main areas of teaching are multivariate statistics and spatial statistics often in a subject area related context. I also teach, at different levels, on the foundations of statistical theory.

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 2 - Zero Hunger
  • SDG 3 - Good Health and Well-being
  • SDG 13 - Climate Action
  • SDG 15 - Life on Land

UKÄ subject classification

  • Probability Theory and Statistics


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Collaborations and top research areas from the last five years

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