Forschung
Forschungsinteressen
- Network Data Analysis
- Predictive Modelling
- Machine Learning
Publikationen
Kevork, S. and Kauermann, G. (2022): Bipartite Exponential Random Graph Models with Nodal Random Effects. Social Networks, Pages 90-99, ISSN 0378-8733, https://doi.org/10.1016/j.socnet.2021.11.002.
Kevork, S. and Kauermann, G. (2021). Iterative Estimation of Mixed Exponential Random Graph Models with Nodal Random Effects. Network Science 9, 478–498. https://doi.org/10.1017/nws.2021.22.
Witting, M., Filimon, S., Kevork, S. (2021). Carry along or not? Decision-making on carrying standard avalanche safety gear among ski tourers in a german touring region. Safety Science, 105406, ISSN 0925-7535, https://doi.org/10.1016/j.scci.2021.105406.
Pöllath, N., García-González, R., Kevork, S., Mutze, U., Zimmermann, M. I., Özbaşaran, M., Peters, J. (2021).
A non-linear prediction model for ageing foetal and neonatal sheep reveals basic issues in early neolithic husbandry.
Journal of Archaeological Science, 105344, ISSN 0305-4403, https://doi.org/10.1016/j.jas.2021.105344.
Freick, M., Weber, J., Passarge, O., & Kevork, S. D. (2016). Effects of erythromycin on milk yield, rumen contraction rate and blood beta-hydroxybutyrate concentration in dairy cows after laparoscopic reposition of the left displaced abomasum. Veterinarni Medicina, 61(8).
Poster
Kevork, S., Kauermann, G. (2018). Iterative Estimation Approach for Exponential Random Graph Models (ERGMs) with Nodal Random Effects. International COSTNET Conference 2018, September 26-28, in Warsaw Poland. Best Poster Award. (Poster as pdf)