Prof. Dr. Maximilian Coblenz
RoomE1020
+49 (0)621 5203 416
maximilian.coblenz@hwg-lu.de
Consultation hours:
by arrangement
Lectures:
- Data Science
- Advanced Analytics
- Anwendungssysteme 2: Big Data
- Praxisprojekt Data Science/Big Data
- NoSQL Datenbanken
- Programmierung für Data Science
Research Statement:
My research comprises machine learning, in particular neural nets and autoencoders, as well as modeling high-dimensional data with copulas. I am interested in applications of copulas in machine learning.
My further research interests are data science/analytics and big data, particularly MLOps, cloud services and NoSQL databases.
Short Bio:
| since 2022 | Professor for Business Information Systems at Department of Services and Consulting, Ludwigshafen University of Business and Society |
| 2020 - 2022 | Data Scientist bei 1&1 Telecommuncation SE |
| 2019 - 2020 | Data Scientist bei EXXETA AG |
| 2015 - 2019 | Research and Teaching Assistant at the Institute of Operations Research (IOR) |
| 2018 | PhD in Statistics, Karlsruhe Institute of Technology |
| 2013 - 2015 | Risk Controller at Landesbank Baden-Württemberg |
| 2013 | M.Sc. Economics Engineering, Karlsruhe Institute of Technology |
| 2012 | M.Sc. Finance and Investment, University of Nottingham |
| 2011 | B.Sc. Business Engineering, Karlsruhe Institute of Technology |
Publications:
- Coblenz, M., Grothe, O., Hermann, K., Hofert, M. (2021). ,,Smooth Bootstrapping of Copula Functionals”. Electronic Journal of Statistics, 16(1): 2250-2606.
- Coblenz, M. (2021). ,,MATVines: A vine copula package for MATLAB”. SoftwareX, 14: 100700.
- Coblenz, M., Holz, S., Bauer, H.-J., Grothe, O., Koch, R. (2020). ,,Modelling Fuel Injector Spray Characteristics in Jet Engines by Using Vine Copulas’’. Journal of the Royal Statistical Society, Series C (Applied Statistics), 69(4): 863-886.
- Coblenz, M. (2018). Advances in Dependence Modeling: Multivariate Quantiles, Copula Level Curve Lengths, and Non-Simplified Vine Copulas. Dissertation, KIT Karlsruhe.
- Coblenz, M., Dyckerhoff, R., Grothe, O. (2018). ,,Confidence Regions for Multivariate Quantiles’’. Water, 10: 996.
- Coblenz, M., Grothe, O., Schreyer, M., Trutschnig, W. (2018). ,,On the length of copula level curves’’. Journal of Multivariate Analysis, 167: 347-365.
- Breig, R., Coblenz, M., Pelz, M. (2018). ,,Enhancing simulation-based theory development in entrepreneurship through statistical validation’’. Journal of Business Venturing Insights, 9: 53-59.
- Coblenz, M., Dyckerhoff, R., Grothe, O. (2018). ,,Nonparametric Estimation of Multivariate Quantiles’’. Environmetrics, 29(2): 1-23.
- Teschner, F., Coblenz, M., Weinhardt, C. (2011). ,,Short-Selling in Prediction Markets’’. The Journal of Prediction Markets, 5(2): 14-31.