The Division of Statistics and Machine Learning (STIMA)

The Division of Statistics and Machine Learning is part of the Department of Computer and Information Science. The research and teaching activities at the division are focused on modern data analysis. 

Research

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, motivated by a wide range of problems in areas that span from journalism and psychology to genetics and robotics.

Teaching

The division hosts the unique bachelor's programme Statistics and Data Analysis and the international master's programme Statistics and Machine Learning. 

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.


Seminar series at STIMA

News at STIMA

News and major articles

Male researcher in lab, blue background light.

SEK 13 million for research into solving murders using AI

Was it murder, poisoning or was the death maybe caused by disease? Researchers have now been granted SEK 13 million from the Swedish Research Council to develop a methodology to solve crimes using detailed analyses and artificial intelligence.

Meet Akshay, student at Statistics and Machine Learning

Master's student awarded for research on traffic flow patterns

Akshay Gurudath receives the Christer Gilén Scholarship for his degree project in statistics and machine learning. In his thesis, Akshay presents and compares models he has built to predict positions of pedestrians, cyclists, and autonomous vehicles.

Chu Wanjun visar för gruppen vilka frukter roboten kan känna igen just nu. I förgrunden ligger en apelsin.

Minister for Energy and Digital Development visits IDA

On Wednesday, 20 april 2022, the minister for digital development Khashayar Farmanbar visited the Department of Computer and Information Science together with the Linköping municipal councillor Mari Hultgren.

Research at STIMA

Latest publications

2024

Solmaz Filiz Karabag, Christian Berggren, Jolanta Pielaszkiewicz, Bengt Gerdin (2024) Minimizing Questionable Research Practices - The Role of Norms, Counter Norms, and Micro-Organizational Ethics Discussion Journal of Academic Ethics Continue to DOI
Maria Weurlander, Linda Wänström, Astrid Seeberger, Annalena Loenn, Linda Barman, Hakan Hult, Robert Thornberg, Annika Wernerson (2024) Development and validation of the physician self-efficacy to manage emotional challenges Scale (PSMEC) BMC Medical Education, Vol. 24, Article 228 Continue to DOI
Samuel Schäfer, Martin Smelik, Oleg Sysoev, Yelin Zhao, Desiré Eklund, Sandra Lilja, Mika Gustafsson, Holger Heyn, Antonio Julia, Istvan A. Kovacs, Joseph Loscalzo, Sara Marsal, Huan Zhang, Xinxiu Li, Danuta Gawel, Hui Wang, Mikael Benson (2024) scDrugPrio: a framework for the analysis of single-cell transcriptomics to address multiple problems in precision medicine in immune-mediated inflammatory diseases Genome Medicine, Vol. 16, Article 42 Continue to DOI
Mahmood Ul Hassan, Frank Miller (2024) Optimal Calibration of Items for Multidimensional Achievement Tests Journal of educational measurement Continue to DOI
Bertil Wegmann, Anders Lundquist, Anders Eklund, Mattias Villani (2024) Bayesian modelling of effective and functional brain connectivity using hierarchical vector autoregressions The Journal of the Royal Statistical Society, Series C: Applied Statistics Continue to DOI
Mattias Kloo, Robert Thornberg, Linda Wänström, Dorothy L. Espelage (2024) Longitudinal links of authoritative teaching and bullying victimization in upper elementary school Educational Psychology Continue to DOI
Muhammad Usman Akbar, Måns Larsson, Ida Blystad, Anders Eklund (2024) Brain tumor segmentation using synthetic MR images - A comparison of GANs and diffusion models Scientific Data, Vol. 11, Article 259 Continue to DOI
Joseph B. Kadane, Anders Nordgaard (2024) Using Bayes factors to limit forensic testimony to forensics: composite hypotheses Australian journal of forensic sciences Continue to DOI
Jörg Schilcher, Alva Nilsson, Oliver Andlid, Anders Eklund (2024) Fusion of electronic health records and radiographic images for a multimodal deep learning prediction model of atypical femur fractures Computers in Biology and Medicine, Vol. 168, Article 107704 Continue to DOI

2023

Krzysztof Bartoszek, Ying Luo (2023) Identifying clusters in Czekanowski's diagram Mathematica Applicanda, Vol. 51, p. 183-198 Continue to DOI

Teaching - Bachelor, Masters and PhD

Contact us

Staff at STIMA

About the department