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;

Seminar series

Staff at STIMA

Latest publications

2017

Colin Aitken, Anders Nordgaard

The Roles of Participants’ DifferingBackground Information in the Evaluation of Evidence

In Journal of Forensic Sciences

Article in journal

Krzysztof J. Gorgolewski, Fidel Alfaro-Almagro, Tibor Auer, Pierre Bellec, Michel Capotă, M. Mallar Chakravarty, Nathan W. Churchill, Alexander Li Cohen, R. Cameron Craddock, Gabriel A. Devenyi, Anders Eklund, Oscar Esteban, Guillaume Flandin, Satrajit S. Ghosh, J. Swaroop Guntupalli, Mark Jenkinson, Anisha Keshavan, Gregory Kiar, Franziskus Liem, Pradeep Reddy Raamana, David Raffelt, Cristopher J. Steele, Pierre-Olivier Quirion, Robert E. Smith, Stephen C. Strother, Gaël Varoquaux, Yida Wang, Tal Yarkoni, Russel A. Poldrack

BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods

In PloS Computational Biology

Article in journal

Robert Thornberg, Linda Wänström, Jun Sung Hong, Dorothy Espelage

Classroom Relationship Qualities and Social-Cognitive Correlates of Defending and Passive Bystanding in School Bullying in Sweden: A Multilevel Analysis

In Journal of School Psychology

Article in journal

About the department

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