Jakob Bergman

Jakob Bergman

Senior lecturer

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Personal profile


My research is focused on compositional data analysis, where we study vectors of proportions (compositions). Compositions arise in a number of different areas, e.g. the geochemical compositions of rock specimens, the proportion of expenditures on different commodity groups in household budgets, and the party shares in a party preference survey. I am particularly interested in modelling compositions over time (especially party shares), and I have developed a method for compositional smoothing (compositional loess). I am also working with applied statistics in archaeology with Mikael Larsson and in philosophy with Martin Jönsson


I teach theoretical and applied statistics and quantitative research methods on different levels: undergraduate, advanced and within PhD programmes. Particularly sampling/survey research and regression analysis are favourite topics of mine.


I have on multitude of occasions given lectures and advice to NGOs, authorities, and companies.

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 5 - Gender Equality
  • SDG 10 - Reduced Inequalities

UKÄ subject classification

  • Probability Theory and Statistics

Free keywords

  • Compositional Analysis
  • Multivariate Analysis
  • Applied statistics


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