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


Colin Aitken, Anders Nordgaard

The Roles of Participants Differing Background Information in the Evaluation of Evidence

In Journal of Forensic Sciences

Article in journal

Armin Spreco, Olle Eriksson, Örjan Dahlström, Benjamin John Cowling, Toomas Timpka

Evaluation of Nowcasting for Detecting and Predicting Local Influenza Epidemics, Sweden, 2009-2014

In Emerging Infectious Diseases

Article in journal

Oleg Sysoev, Oleg Burdakov

A smoothed monotonic regression via L2 regularization

In Knowledge and Information Systems

Article in journal

About the department