Prof. Dr. Maximilian Coblenz - Publikationen

Kächele, Fabian; Coblenz, Maximilian; Grothe, Oliver
A comparison of latent space modeling techniques in a plain-vanilla autoencoder setting
Machine Learning. Bd. 114. H. 7. Springer Science and Business Media LLC 2025 151

Liu, Bolin; Coblenz, Maximilian; Grothe, Oliver
Copula-based Probabilistic Prediction of Grid Frequency Dynamics
Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems. New York, NY, USA: ACM 2025 S. 733 - 741

Liu, Bolin; Coblenz, Maximilian; Grothe, Oliver
Predicting grid frequency short-term dynamics with Gaussian processes and sequence modeling
Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems. New York, NY, USA: ACM 2024 S. 535 - 550

Holz, Simon; Coblenz, Maximilian; Koch, Rainer et al.
Two approaches for constructing multivariate injection models for prefilming airblast atomizers
International Journal of Multiphase Flow. Bd. 181. Elsevier BV 2024 104999

Mohr, Robert; Coblenz, Maximilian; Kirst, Peter
Globally optimal univariate spline approximations
Computational Optimization and Applications. Bd. 85. H. 2. Springer Science and Business Media LLC 2023 S. 409 - 439

Coblenz, Maximilian; Grothe, Oliver; Herrmann, Klaus et al.
Smooth bootstrapping of copula functionals
Electronic Journal of Statistics. Bd. 16. H. 1. Institute of Mathematical Statistics 2022

Coblenz, Maximilian
MATVines: A vine copula package for MATLAB
SoftwareX. Bd. 14. Elsevier BV 2021 S. 100700

Coblenz, Maximilian; Holz, Simon; Bauer, Hans-Jörg et al.
Modelling Fuel Injector Spray Characteristics in Jet Engines by Using Vine Copulas
Journal of the Royal Statistical Society Series C: Applied Statistics. Bd. 69. H. 4. Oxford University Press (OUP) 2020 S. 863 - 886

Coblenz, Maximilian
Advances in Dependence Modeling: Multivariate Quantiles, Copula Level Curve Lengths, and Non-Simplified Vine Copulas
Karlsruhe: Karlsruher Institut für Technologie (KIT) 2018 172 S., Zugl.: Dissertation, Karlsruher Institut für Technologie (KIT), 2018

Coblenz, Maximilian; Dyckerhoff, Rainer; Grothe, Oliver
Confidence Regions for Multivariate Quantiles
Water. Bd. 10. H. 8. MDPI AG 2018 S. 996

Breig, Roman; Coblenz, Maximilian; Pelz, Michael
Enhancing simulation-based theory development in entrepreneurship through statistical validation
Journal of Business Venturing Insights. Bd. 9. Elsevier BV 2018 S. 53 - 59

Coblenz, Maximilian; Dyckerhoff, Rainer; Grothe, Oliver
Nonparametric estimation of multivariate quantiles
Environmetrics. Bd. 29. H. 2. Wiley 2018 e2488

Coblenz, Maximilian; Grothe, Oliver; Schreyer, Manuela et al.
On the length of copula level curves
Journal of Multivariate Analysis. Bd. 167. Elsevier BV 2018 S. 347 - 365

Teschner, Florian; Coblenz, Maximilian; Weinhardt, Christof
Short-Selling in Prediction Markets
The Journal of Prediction Markets. Bd. 5. H. 2. University of Buckingham Press 2012 S. 14 - 31