Claudia Czado

Orcid: 0000-0002-6329-5438

Affiliations:
  • Technical University Munich, Germany


According to our database1, Claudia Czado authored at least 28 papers between 2008 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2025
Vine copula based structural equation models.
Comput. Stat. Data Anal., 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
Bayesian multivariate nonlinear state space copula models.
Comput. Stat. Data Anal., December, 2023

2022
On the Observability of Gaussian Models using Discrete Density Approximations.
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
Selection of sparse vine copulas in high dimensions with the Lasso.
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
Model distances for vine copulas in high dimensions.
Stat. Comput., 2018

Vine copula based likelihood estimation of dependence patterns in multivariate event time data.
Comput. Stat. Data Anal., 2018

2017
Model selection for discrete regular vine copulas.
Comput. Stat. Data Anal., 2017

D-vine copula based quantile regression.
Comput. Stat. Data Anal., 2017

2016
Evading the curse of dimensionality in nonparametric density estimation with simplified vine copulas.
J. Multivar. Anal., 2016

Spatial R-vine copula for streamflow scenario simulation.
Proceedings of the Power Systems Computation Conference, 2016

2015
Preface to special issue on high-dimensional dependence and copulas.
J. Multivar. Anal., 2015

Spatial composite likelihood inference using local C-vines.
J. Multivar. Anal., 2015

Conditional quantiles and tail dependence.
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
Regime switches in the dependence structure of multidimensional financial data.
Comput. Stat. Data Anal., 2014

SCOMDY models based on pair-copula constructions with application to exchange rates.
Comput. Stat. Data Anal., 2014

2013
Simplified pair copula constructions - Limitations and extensions.
J. Multivar. Anal., 2013

Selecting and estimating regular vine copulae and application to financial returns.
Comput. Stat. Data Anal., 2013

2012
Efficient Bayesian inference for stochastic time-varying copula models.
Comput. Stat. Data Anal., 2012

2011
Modeling individual migraine severity with autoregressive ordered probit models.
Stat. Methods Appl., 2011

Efficient maximum likelihood estimation of copula based meta t-distributions.
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


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