Volker J Schmid is a professor of statistics with a focus on Bayesian statistics with applications in spatial and image analysis. His research interests include the efficiency of Bayesian computational methods. Applications of these methods include medical imaging and microscopic imaging in biology, as well as traditional applications in spatial statistics such as disease mapping.
He is leader of the Bayesian Inference and Spatial Statistics group at the Department of Statistics at Ludwig-Maximilians-Universität München (LMU Munich). He is involved in several initiatives which link statistics and data science, including the Munich Center of Machine Learning.
Interests
- Bayesian Statistics
- Spatial Statistics
- Imaging
Selected Topics
Selected Publications
A Bayesian Updating Framework for Long-term Multi-Environment Trial Data in Plant Breeding
Stephan Bark, Waqas Ahmed Malik, Maryna Prus, Hans-Peter Piepho, Volker J. Schmid – arXiv preprint arXiv:2604.16203, 2026 (DOI)
Related project: Bayesian learning for Multi-Environment Trials
Baby Boomers in Germany: a secondary data analysis of demographics, regional disparities, healthcare utilization, and mortality
Andreas Kuehnl, Volker J. Schmid, Michaela Olm, Wolfgang Weber – BMC Public Health 26, 1228 (2026), 2026 (DOI)
Related project: Baby Boomers in Germany
Spatial Distribution and Birth Prevalence of Congenital Heart Disease in Iran: A Systematic Review and Hierarchical Bayesian Meta-analysis
Roghaye Farhadi Hassankiadeh, Annette Dobson, Somayeh Rahimi, Abdollah Jalilian, Volker J. Schmid, Behzad Mahaki – International Journal of Health Policy and Management, 13 (1), pp. 1–11, 2024 (DOI)
Related project: Disease Mapping
Maximum Entropy Technique and Regularization Functional for Determining the Pharmacokinetic Parameters in DCE-MRI
Zahra Amini Farsani, Volker J. Schmid – Journal of Digital Imaging, 35, pp. 1176–1188, 2022 (DOI)
Related project: Maximum entropy methods for biological and medical images
Zusammenhang zwischen der regionalen Siedlungsstruktur und der Krankenhausinzidenz, Therapieform und Mortalität von nicht-rupturierten abdominalen Aortenaneurysmen. Sekundärdatenanalyse der deutschen DRG-Statistik von 2005–2014
Alexander Erk, Matthias Trenner, Michael Salvermoser, Benedikt Reutersberg, Volker J. Schmid, Hans-Henning Eckstein, Andreas Kuehnl – Zeitschrift für Evidenz, Fortbildung und Qualität im Gesundheitswesen, 2021 (DOI)
Related project: Abdominal Aortic Aneurysm (AAA)
Quantitative analyses of the 3D nuclear landscape recorded with super-resolved fluorescence microscopy
Volker J. Schmid, Marion Cremer, Thomas Cremer – Methods, 2017 (DOI)
Related project: Quantitative analysis of the nuclear landscape
