Projects per year
Organisation profile
Organisation profile
Our goal is to contribute to the JKU's success by means of conducting outstanding research and education in the area of statistics. As part of the oldest statistics degree program in German-speaking Europe, we offer sound education, thereby giving our graduates ideal professional opportunities in the job market. From a research perspective, we contribute to developing statistics itself as well as developing appropriate statistical methods to support interdisciplinary research questions. In this regard, we collaborate with academics and scientists from different research areas and members of the business community.
Fields of science
- 101024 Probability theory
- 509013 Social statistics
- 305907 Medical statistics
- 102009 Computer simulation
- 504006 Demography
- 504007 Empirical social research
- 509 Other Social Sciences
- 502025 Econometrics
- 504004 Population statistics
- 106007 Biostatistics
- 502051 Economic statistics
- 105108 Geostatistics
- 101007 Financial mathematics
- 101018 Statistics
- 101029 Mathematical statistics
- 101026 Time series analysis
JKU Focus areas
- Digital Transformation
- Sustainable Development: Responsible Technologies and Management
-
Normative measurement framework for assessing the impact of socio-ecological transformation on lifespan inequity within populations
Paulik, P. (Researcher), Muszynska-Spielauer, M. (Co-PI) & Reiss, J. (PI)
01.03.2025 → 28.02.2027
Project: Funded research › Federal / regional / local authorities
-
Stochastic processes
Tubikanec, I. (PI)
01.05.2024 → 31.12.2030
Project: Other › Project from scientific scope of research unit
-
Bayesian Design for Combined Physical and Computer Experiments
Müller, W. (Researcher), Zhu, H. (Researcher) & Hainy, M. (PI)
01.10.2023 → 23.02.2026
Project: Funded research › Federal / regional / local authorities
-
A comparison of design algorithms for choosing the training population in genomic models
Stadler, A., Müller, W. G. & Futschik, A., 13 Feb 2025, In: Frontiers in Genetics. 15, 11 p., 1462855.Research output: Contribution to journal › Article › peer-review
Open Access -
Bayesian inference of multiple Ising models for heterogeneous public opinion survey networks
Avalos-Pacheco, A., Lazzerini, A., Lupparelli, M. & Stingo, F. C., 2025, In: Journal of the Royal Statistical Society, Series C (Applied Statistics). p. 1-32Research output: Contribution to journal › Article › peer-review
Open Access -
Building support for children and families affected by stroke (BUILD CARE): Study protocol
Kevdzija, M., Bartha-Doering, L., Heying, R., Heylighen, A., Jelić, A., Jellema, P., Kalhorn, A. F., Mandl, S., Marquardt, G., Moser, B., Muszynska-Spielauer, M., Ortibus, E., Renner, A. T., Schoß, A. S. & Tutenel, P., Feb 2025, In: PLOS One. 20, 2, 20 p., e0308765.Research output: Contribution to journal › Article › peer-review
Open Access
Activities
-
The virtual noise method for optimum design of experiments with correlated observations
Hainy, M. (Speaker)
01 Jul 2025Activity: Talk or presentation › Invited talk › science-to-science
-
Random Reward Discrete Phase-Type Distributions With Applications in Quality Assessment
Pauli, S. (Speaker)
27 Jun 2025Activity: Talk or presentation › Contributed talk › science-to-science
-
Bayesian prediction design for physical experiments informed by computer experiments
Hainy, M. (Speaker) & Zhu, H. (Speaker)
24 Jun 2025Activity: Talk or presentation › Poster presentation › science-to-science
Press/Media
-
-
-
PLATZ FÜR STATISTIK (Die seltsame Wahlumfragenkonstanz)
30.08.2019
1 item of Media coverage
Press/Media