Claudia Czado
Orcid: 0000-0002-6329-5438Affiliations:
- Technical University Munich, Germany
According to our database1,
Claudia Czado
authored at least 28 papers
between 2008 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on zbmath.org
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on orcid.org
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on id.loc.gov
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on d-nb.info
On csauthors.net:
Bibliography
2025
2024
D-Vine-Based Correction of Physics-Based Model Output for the Identification of Risky Flights With Respect to Runway Overruns.
IEEE Access, 2024
2023
Comput. Stat. Data Anal., December, 2023
2022
Proceedings of the 25th International Conference on Information Fusion, 2022
2020
Modeling of Stochastic Wind Based on Operational Flight Data Using Karhunen-Loève Expansion Method.
Sensors, 2020
A partial correlation vine based approach for modeling and forecasting multivariate volatility time-series.
Comput. Stat. Data Anal., 2020
2019
Stat. Comput., 2019
Model selection in sparse high-dimensional vine copula models with an application to portfolio risk.
J. Multivar. Anal., 2019
Dependence modelling in ultra high dimensions with vine copulas and the Graphical Lasso.
Comput. Stat. Data Anal., 2019
2018
Vine copula based likelihood estimation of dependence patterns in multivariate event time data.
Comput. Stat. Data Anal., 2018
2017
2016
Evading the curse of dimensionality in nonparametric density estimation with simplified vine copulas.
J. Multivar. Anal., 2016
Proceedings of the Power Systems Computation Conference, 2016
2015
J. Multivar. Anal., 2015
Comorbidity of chronic diseases in the elderly: Patterns identified by a copula design for mixed responses.
Comput. Stat. Data Anal., 2015
2014
Comput. Stat. Data Anal., 2014
Comput. Stat. Data Anal., 2014
2013
J. Multivar. Anal., 2013
Comput. Stat. Data Anal., 2013
2012
Comput. Stat. Data Anal., 2012
2011
Stat. Methods Appl., 2011
Comput. Stat. Data Anal., 2011
2010
Model selection strategies for identifying most relevant covariates in homoscedastic linear models.
Comput. Stat. Data Anal., 2010
2008
Does a Gibbs sampler approach to spatial Poisson regression models outperform a single site MH sampler?
Comput. Stat. Data Anal., 2008