The Division of Statistics and Machine Learning (STIMA)

STIMA does research and teaching in modern data analysis. 

STIMA is a division of Statistics and Machine Learning that belongs to a department of computer science. This fact makes us unique in Sweden, and we like to view ourselves as Sweden's most modern division of statistics with a clear focus on state-of-the-art data analysis, prediction and decision making in complex systems. We are engaged in basic methodological research motiverade by a wide range of problems in areas that span from journalism and psychology to genetics and robotics.

The division hosts the unique bachelor's programme statistik och dataanalys and the international master's programme Statistics and Data Mining. We are responsible for the course in machine learning taught at the engineering programmes at Linköping University, as well as the PhD study programme in Statistics.

STIMA also leads two popular research seminar series;

Contact

Seminar series

Staff at STIMA

Latest publications

2017

Per Sidén, Anders Eklund, David Bolin, Mattias Villani

Fast Bayesian whole-brain fMRI analysis with spatial 3D priors

Article in journal

Marcus Bendtsen, Jose M. Peña

Modelling regimes with Bayesian network mixtures

Conference paper

Robert Thornberg, Linda Wänström, Tiziana Pozzoli

Peer victimisation and its relation to class relational climate and class moral disengagement

Article in journal

About the department