Professor Martin Singull's research focuses on statistical inference of this type of data. In particular, the considered statistical models contain unknown parameters, which describe the expected values over time as well as all dependencies. The parameters need to be estimated so that the statistical models can be further used for prediction and classification of future unknown observations.
In his latest research projects, Martin Singull uses both the spatial and temporal information in repeated measurements, to develop efficient classifiers, and derive probabilities of misclassification, for future unknown units or individuals that are assumed to follow different expected values over time.
- Head of Division of Applied Mathematics at the Department of Mathematics, Linköping University
- Assistant Director for the Research School in Interdisciplinary Mathematics at Linköping University
- Team Leader for the Sida funded bilateral subprograms in mathematics and statistics at the five universities Royal University of Phnom Penh (Cambodia), Eduardo Mondlane University (Mozambique), University of Rwanda, University of Dar Es Salaam (Tanzania) and Makerere University (Uganda)
- Chair of the Board of the Cramér Society (2022- )