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HWG Ludwigshafen (677)
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Hochschule für Wirtschaft und Gesellschaft Ludwigshafen
- 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; 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
- Coblenz, Maximilian; Dyckerhoff, Rainer; Grothe, Oliver
- Confidence Regions for Multivariate Quantiles
- Water. Bd. 10. H. 8. MDPI AG 2018 S. 996
- 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
- MATVines: A vine copula package for MATLAB
- SoftwareX. Bd. 14. Elsevier BV 2021 S. 100700
- 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
- 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
- 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
- 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
- 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