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

Björn Sjögren, Robert Thornberg, Linda Wänström, Gianluca Gini, Marlene Bjärehed

Associations between bystanders’ reactions to peer victimization and student-teacher relationship quality, moral disengagement, and defender self-efficacy: A structural equation approach

Conference paper

Xuan Gu, Anders Eklund, Hans Knutsson

Repeated Tractography of a Single Subject: How High Is the Variance?

In Modeling, Analysis, and Visualization of Anisotropy

Chapter in book

Robert Thornberg, Linda Wänström, Tiziana Pozzoli, Gini Gianluca

Victim prevalence in bullying and its association with teacher–student and student–student relationships and class moral disengagement: A class-level path analysis

In Research Papers in Education

Article in journal

About the department

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