The stochastics group at the department comprises researchers active in the fields of

- probability, statistics, data science, optimization, and operations research.

The group is responsible for the study programs in

- statistics, data science and mathematics-economics

and was recently extended with the Applied Statistics Laboratory, which provides statistical support and consultancy to other departments at Aarhus University.

There is a strong tradition in the group for interdisciplinary research as well as for national and international collaborations. To see the breadth of research interests consult the business cards below.

- Claudia Strauch awarded Carlsberg Foundation Young Researcher Fellowship (2020.12.03)
- Claudia Strauch receives Sapere Aude Research Leader grant (2020.11.23)
- Jevgenijs Ivanovs awarded the 2020 Erlang Prize (2020.11.12)
- MACO – The first math course on the new data science education (2020.04.28)
- Claudia Strauch, new Assoc. Prof. of Data Science and Statistics (2020.04.09)

Jensen, E. B. V. (2020). *Stereological inference on mean particle shape from vertical sections*. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports Vol. 2020/01 https://data.math.au.dk/publications/csgb/2020/math-csgb-2020-01.pdf

Labouriau, R. (2020). *Inference Functions for Semiparametric Models*. arXiv. http://arxiv.org/abs/2011.07275

Akhter, M. J., Melander, B., Mathiassen, S. K., Labouriau, R., Nielsen, S. V. & Kudsk, P. (2020). Growth and Phenology of Vulpia Myuros in Comparison with Apera Spica-Venti, Alopecurus Myosuroides and Lolium Multiflorum in Monoculture and in Winter Wheat. *Plants*, *9*(11), [1495]. https://doi.org/10.3390/plants9111495

The links take you to the personal homepage in AU's system (pure), where you find publications and contact information.

Professor

Machine learning, statistical learning, statistical methods in molecular biology, stochastic processes.

Associate professor

Nonparametric statistics, stochastic processes, statistical learning

Associate professor

Applied probability, stochastic processes, extremes, distributional robustness, simulation, high-frequency statistics

Associate professor

Statistics, Statistical Learning / Machine Learning, Deep learning for medical images, Monte Carlo Simulation, Bioinformatics

Associate professor

Stochastic geometry, convex geometry, geometric tomography, spatial statistics

Associate professor

Free probability theory, random matrices, Lévy processes, operator algebras.

Associate professor

Statistics – stochastic geometry, stereology, computational and nonparametric statistics, multiple testing

Postdoc

Nonparametric Statistics, Statistical Learning, Differential Privacy

Postdoc

Interacting particle systems, stochastic flows, random point processes, Lévy processes

Emeritus professor

Statistics – stochastic geometry, stereology, spatial statistics

Emeritus associate professor

Operations research, inventory control, Markov decision processes, simulation, cost accounting