Direkt zum InhaltDirekt zur SucheDirekt zur Navigation
▼ Zielgruppen ▼

Humboldt-Universität zu Berlin - Statistics

Dr. Matthias Eckardt


  •   E-mail   m.eckardt@hu-berlin.de
  •   Phone / Fax
      +49 30 2093-99474 / +49 30 2093-99591
  •   Office / Office hours:
      SPA1, 406 / upon agreement

Mail address

Humboldt-Universität zu Berlin
School of Business and Economics
Chair of Statistics
Unter den Linden 6
10099 Berlin

Research Interest

General Framework for Multivariate Spatial / Spatio-Temporal Data

Vector Marked / Multivariate Functional Marked Spatial Point Processes

Partial Characteristics of Multivariate Spatial Processes

Spatial / Spatio-Temporal Graphical Modelling

Statistical Analysis of Network Data/ Trajectories

Spatial Processes over Structured/ Complex Domains

Causal Inference


Mateu, J and Eckardt, M (2020). Discussion to the paper: Graphical models for extremes, by Engelke, S and Hitz, AS. Journal of the Royal Statistical Society B, 82 (3), 1-38.

Eckardt, M and Mateu, J (2019). Partial characteristics for marked spatial point processes. Environmetrics, 30(6):e2565.

Eckardt, M and Mateu, J (2019). Analysing Multivariate Spatial Point Processes with Continuous Marks: A Graphical Modelling Approach. International Statistical Review, 87(1):44-67.

Eckardt, M and Mateu, J (2018). Point Patterns Occurring on Complex Structures in Space and Space-Time: An Alternative Network Approach. Journal of Computational and Graphical Statistics, 27(2):312-322.                  

Eckardt, M and Mateu, J (2017). Analysing highly complex and highly structured point patterns in space. Spatial Statistics, 22:296 - 305.

Eckardt, M, Brettschneider, C, van den Bussche, H, König, H, and Group, MS (2017). Analysis of Health Care Costs in Elderly Patients with Multiple Chronic Conditions Using a Finite Mixture of Generalized Linear Models Health Economics, 26(5):582-599.

Mateu, J and Eckardt, M (2017). Discussion to the paper: Sparse graphs using exchangeable random measures, by Caron, F. & Fox, E.B. Journal of the Royal Statistical Society B, 79(5).

Eckardt, M (2016). Reviewing Graphical Modelling of Multivariate Temporal Processes In: Analysis of Large and Complex Data, ed. by Wilhelm, Adalbert F.X. and Kestler, Hans A., pp. 221–229, Cham, Springer.

Eckardt, M, Freuling, C, Müller, T, and Selhorst, T (2015). Spatio-temporal analysis of fox rabies cases in Germany 2005-2006. Geospatial Health, 10(1).

Dwinger, S, Dirmaier, J, Herbarth, L, König, H, Eckardt, M, Kriston, L, Bermejo, I, and Härter, M (2013). Telephone-based health coaching for chronically ill patients: study protocol for a randomized controlled trial Trials, 14(1):337.

König, H, Leicht, H, Bickel, H, Fuchs, A, Gensichen, J, Maier, W, Mergenthal, K, Riedel-Heller, S, Schäfer, I, Schön, G, Weyerer, S, Wiese, B, van den Bussche, H, Scherer, M, Eckardt, M, and group, ftMs (2013). Effects of multiple chronic conditions on health care costs: an analysis based on an advanced tree-based regression model. BMC Health Services Research, 13(1):219.

Rapp, K, Cameron, ID, Becker, C, Kleiner, A, Eckardt, M. , König, H. and Klenk, J. (2013). Femoral fracture rates after discharge from the hospital to the community. Journal of Bone Mineral Research, 28:821-827.


Eckardt, M and Mateu, J. Structured network regression for spatial point patterns.

Eckardt, M and Mateu, J. A spatial dependence graph model for multivariate spatial hybrid processes.

Eckardt, M and Mateu, J. Second-order and local characteristics of network intensity functions.

Eckardt, M and Mateu, J. Partial and semi-partial measures of spatial associations for multivariate lattice data.

Eckardt, M and Mateu, J. Multivariate analysis of spatially aggregated health outcomes.

Eckardt, M and Mateu, J. Quantile analysis of second-order point process characteristics

Eckardt, M and Mateu, J. Spatial dependence graph models for functional  spatial data.

Eckardt, M, Gonzales, JA and Mateu, J. Graphical modelling and partial characteristics of spatio-temporal point processes.

Charles, T, Eckardt, M, Karo, B, Haas, W, and Kröger, S (2019).
Seasonality in extra-pulmonary tuberculosis notifications in Germany - a time series analysis

Neufeind, J, Betsch, C, Eckardt, M, Habersaat, KB, and Wichmann, O. Closing the vaccination gaps: German family physicians and challenges with vaccine provision. A WHO TIP

Selb, R, Jansen, K, Eckardt, M, Tamminga, T, Dudareva, S, Gassowski, M, Graeber, I, Guhl, E, Heuer, D, and Buder, S. External quality assessment (EQA) of Neisseria gonorrhoeae antimicrobial susceptibility testing in primary laboratories in Germany

Conference proceedings

Eckardt, M (2015). Quantile Graphical Modelling of Point Processes. 12th Workshop on Stochastic Models, Statistics and Their Applications. Wroclaw

Eckardt, M and Mateu, J. (2016). Structural approaches towards multivariate spatial and spatio-temporal point processes: Graphical modelling and network approaches for complex patterns. Conference: METMA VIII: Proceedings of the 8th International Workshop on Spatio-Temporal Modelling, Valencia

Working paper

Stahlschmidt, S, Eckardt, M and Härdle, WK (2014). Expectile Treatment Effects: An efficient alternative to compute the distribution of treatment effects.  SFB 649 Discussion Paper 2014-059. Humboldt-Universität zu Berlin, Berlin, Germany


Eckardt, M (2016). Spatial dependence graph models for the exploratory analysis of multivariate spatial point processes.