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depCensoring: Statistical Methods for Survival Data with Dependent Censoring
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2024
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Ilias Willems
Gilles Crommen
Negera Wakgari Deresa
Ingrid Van Keilegom
Claudia Czado
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PDF
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High-dimensional sparse vine copula regression with application to genomic prediction
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2024
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Özge Uysal Şahin
Claudia Czado
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PDF
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Vine Copula based Portfolio Level Conditional Risk Measure Forecasting
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2023
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Emanuel Sommer
Karoline Bax
Claudia Czado
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PDF
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Bayesian multivariate nonlinear state space copula models
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2023
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Alexander Kreuzer
Luciana Dalla Valle
Claudia Czado
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PDF
Chat
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ESG, risk, and (tail) dependence
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2023
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Karoline Bax
Özge Uysal Şahin
Claudia Czado
Sandra Paterlini
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Assessing univariate and bivariate risks of late-frost and drought using vine copulas: A historical study for Bavaria
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2023
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Marija Tepegjozova
Benjamin F. Meyer
Anja Rammig
Christian Zang
Claudia Czado
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PDF
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Dependent censoring based on parametric copulas
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2022
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Claudia Czado
Ingrid Van Keilegom
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PDF
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On the Observability of Gaussian Models using Discrete Density Approximations
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2022
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Ariane Hanebeck
Claudia Czado
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PDF
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Environmental, Social, Governance scores and the Missing pillar—Why does missing information matter?
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2022
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Özge Uysal Şahin
Karoline Bax
Claudia Czado
Sandra Paterlini
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PDF
Chat
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ESGM: ESG scores and the Missing pillar
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2022
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Özge Uysal Şahin
Karoline Bax
Sandra Paterlini
Claudia Czado
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Two‐part D‐vine copula models for longitudinal insurance claim data
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2022
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Lu Yang
Claudia Czado
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PDF
Chat
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Nonparametric C- and D-vine-based quantile regression
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2022
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Marija Tepegjozova
Jing Zhou
Gerda Claeskens
Claudia Czado
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Bivariate vine copula based regression, bivariate level and quantile curves
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2022
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Marija Tepegjozova
Claudia Czado
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Statistical Dependence Analyses of Operational Flight Data Used for Landing Reconstruction Enhancement
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2022
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Lukas Höhndorf
Thomas Nagler
Phillip Koppitz
Claudia Czado
Florian Holzapfel
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On the Observability of Gaussian Models using Discrete Density Approximations
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2022
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Ariane Hanebeck
Claudia Czado
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+
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Vine Copula based portfolio level conditional risk measure forecasting
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2022
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Emanuel Sommer
Karoline Bax
Claudia Czado
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+
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High-dimensional sparse vine copula regression with application to genomic prediction
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2022
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Özge Uysal Şahin
Claudia Czado
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+
PDF
Chat
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Vine Copula Based Portfolio Level Conditional Risk Measure Forecasting
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2022
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Emanuel Sommer
Karoline Bax
Claudia Czado
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An Application of D-vine Regression for the Identification of Risky Flights in Runway Overrun
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2022
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Hassan H. Alnasser
Claudia Czado
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Analysis of an interventional protein experiment using a vine copula based structural equation model
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2021
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Claudia Czado
Sebastian Scharl
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PDF
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Analysis of an interventional protein experiment using a vine copula
based structural equation model
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2021
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Claudia Czado
Sebastian Scharl
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+
PDF
Chat
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Vine Copula Based Modeling
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2021
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Claudia Czado
Thomas Nagler
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+
PDF
Chat
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ESG, Risk, and (Tail) Dependence
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2021
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Karoline Bax
Özge Uysal Şahin
Claudia Czado
Sandra Paterlini
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PDF
Chat
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Vine copula mixture models and clustering for non-Gaussian data
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2021
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Özge Uysal Şahin
Claudia Czado
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PDF
Chat
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Bayesian inference for a single factor copula stochastic volatility model using Hamiltonian Monte Carlo
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2021
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Alexander Kreuzer
Claudia Czado
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+
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Nonparametric C- and D-vine based quantile regression
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2021
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Marija Tepegjozova
Jing Zhou
Gerda Claeskens
Claudia Czado
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+
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Efficient Bayesian Inference for Nonlinear State Space Models With Univariate Autoregressive State Equation
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2021
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Alexander Kreuzer
Claudia Czado
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+
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Dependent censoring based on copulas
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2021
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Claudia Czado
Ingrid Van Keilegom
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+
PDF
Chat
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ESG, Risk, and (Tail) Dependence
|
2021
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Karoline Bax
Özge Uysal Şahin
Claudia Czado
Sandra Paterlini
|
+
PDF
Chat
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ESGM: ESG scores and the Missing pillar
|
2021
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Özge Uysal Şahin
Karoline Bax
Claudia Czado
Sandra Paterlini
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+
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ESG, Risk, and (Tail) Dependence
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2021
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Karoline Bax
Özge Uysal Şahin
Claudia Czado
Sandra Paterlini
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+
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Analysis of an interventional protein experiment using a vine copula based structural equation model
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2021
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Claudia Czado
Sebastian Scharl
|
+
PDF
Chat
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Efficient Bayesian Inference for Nonlinear State Space Models With Univariate Autoregressive State Equation
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2020
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Alexander Kreuzer
Claudia Czado
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+
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Bayesian inference for dynamic vine copulas in higher dimensions
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2019
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Alexander Kreuzer
Claudia Czado
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+
PDF
Chat
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A partial correlation vine based approach for modeling and forecasting multivariate volatility time-series
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2019
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Nicole Barthel
Claudia Czado
Yarema Okhrin
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+
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Model selection in sparse high-dimensional vine copula models with an application to portfolio risk
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2019
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Thomas Nagler
Christian Bumann
Claudia Czado
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+
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Dependence modelling in ultra high dimensions with vine copulas and the Graphical Lasso
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2019
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Dominik Müller
Claudia Czado
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+
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A Bayesian Non-linear State Space Copula Model to Predict Air Pollution in Beijing
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2019
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Alexander Kreuzer
Luciana Dalla Valle
Claudia Czado
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+
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Pair Copula Decompositions and Constructions
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2019
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Claudia Czado
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+
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Multivariate Distributions and Copulas
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2019
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Claudia Czado
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+
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Bivariate Copula Classes, Their Visualization, and Estimation
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2019
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Claudia Czado
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+
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Efficient Bayesian inference for nonlinear state space models with univariate autoregressive state equation
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2019
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Alexander Kreuzer
Claudia Czado
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+
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Bayesian inference for dynamic vine copulas in higher dimensions
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2019
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Alexander Kreuzer
Claudia Czado
|
+
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Bayesian Multivariate Nonlinear State Space Copula Models
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2019
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Alexander Kreuzer
Luciana Dalla Valle
Claudia Czado
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PDF
Chat
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Dependence Modeling for Recurrent Event Times Subject to Right-Censoring With D-Vine Copulas
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2018
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Nicole Barthel
Candida Geerdens
Claudia Czado
Paul Janssen
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PDF
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A statistical simulation method for joint time series of non-stationary hourly wave parameters
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2018
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W. Jäger
Thomas Nagler
Claudia Czado
Robert McCall
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Bayesian inference for a single factor copula stochastic volatility model using Hamiltonian Monte Carlo.
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2018
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Alexander Kreuzer
Claudia Czado
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PDF
Chat
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Selection of sparse vine copulas in high dimensions with the Lasso
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2018
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Dominik Müller
Claudia Czado
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+
PDF
Chat
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A D-Vine Copula-Based Model for Repeated Measurements Extending Linear Mixed Models with Homogeneous Correlation Structure
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2018
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Matthias Killiches
Claudia Czado
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A partial correlation vine based approach for modeling and forecasting multivariate volatility time-series
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2018
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Nicole Barthel
Claudia Czado
Yarema Okhrin
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+
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Model selection in sparse high-dimensional vine copula models with application to portfolio risk
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2018
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Thomas Nagler
Christian Bumann
Claudia Czado
|
+
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AD‐vine copula‐based model for repeated measurements extending linear mixed models with homogeneous correlation structure
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2018
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Matthias Killiches
Claudia Czado
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A Statistical Simulation Method for Joint Time Series of Non-stationary Hourly Wave Parameters
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2018
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W. Jäger
Thomas Nägler
Claudia Czado
Robert McCall
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+
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Bayesian inference for a single factor copula stochastic volatility model using Hamiltonian Monte Carlo
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2018
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Alexander Kreuzer
Claudia Czado
|
+
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A partial correlation vine based approach for modeling and forecasting multivariate volatility time-series
|
2018
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Nicole Barthel
Claudia Czado
Yarema Okhrin
|
+
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Model selection in sparse high-dimensional vine copula models with application to portfolio risk
|
2018
|
Thomas Nagler
Christian Bumann
Claudia Czado
|
+
PDF
Chat
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Bayesian Model Selection of Regular Vine Copulas
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2017
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Lutz F. Gruber
Claudia Czado
|
+
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Modeling recurrent event times subject to right-censoring with D-vine copulas
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2017
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Nicole Barthel
Candida Geerdens
Claudia Czado
Paul Janssen
|
+
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Dependence modeling for recurrent event times subject to right-censoring with D-vine copulas
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2017
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Nicole Barthel
Candida Geerdens
Claudia Czado
Paul Janssen
|
+
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Dependence Modeling in Ultra High Dimensions with Vine Copulas and the Graphical Lasso
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2017
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Dominik Müller
Claudia Czado
|
+
PDF
Chat
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Vine copula based likelihood estimation of dependence patterns in multivariate event time data
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2017
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Nicole Barthel
Candida Geerdens
Matthias Killiches
Paul Janssen
Claudia Czado
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+
PDF
Chat
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Representing Sparse Gaussian DAGs as Sparse R-Vines Allowing for Non-Gaussian Dependence
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2017
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Dominik Müller
Claudia Czado
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+
PDF
Chat
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Stress Testing German Industry Sectors: Results from a Vine Copula Based Quantile Regression
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2017
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Matthias Fischer
Daniel Kraus
Marius Pfeuffer
Claudia Czado
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Heavy tailed spatial autocorrelation models
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2017
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Alexander Kreuzer
Tobias Erhardt
Thomas Nagler
Claudia Czado
|
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Statistical Modeling of Dependence Structures of Operational Flight Data Measurements not Fulfilling the I.I.D. Condition
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2017
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Lukas Höhndorf
Claudia Czado
Huanglei Bian
Jennifer Kneer
Florian Holzapfel
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+
PDF
Chat
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Bayesian Inference for Latent Factor Copulas and Application to Financial Risk Forecasting
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2017
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Benedikt Schamberger
Lutz F. Gruber
Claudia Czado
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A D-vine copula based model for repeated measurements extending linear mixed models with homogeneous correlation structure
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2017
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Matthias Killiches
Claudia Czado
|
+
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Selection of Sparse Vine Copulas in High Dimensions with the Lasso
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2017
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Dominik Müller
Claudia Czado
|
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Stress Testing German Industry Sectors: Results from a Vine Copula Based Quantile Regression
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2017
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Matthias Fischer
Daniel Kraus
Marius Pfeuffer
Claudia Czado
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Growing simplified vine copula trees: improving Di{\ss}mann's algorithm
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2017
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Daniel Kraus
Claudia Czado
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PDF
Chat
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Examination and visualisation of the simplifying assumption for vine copulas in three dimensions
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2017
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Matthias Killiches
Daniel Kraus
Claudia Czado
|
+
PDF
Chat
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Model distances for vine copulas in high dimensions
|
2017
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Matthias Killiches
Daniel Kraus
Claudia Czado
|
+
PDF
Chat
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Nonparametric estimation of simplified vine copula models: comparison of methods
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2017
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Thomas Nagler
Christian Schellhase
Claudia Czado
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PDF
Chat
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Regime Switching Vine Copula Models for Global Equity and Volatility Indices
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2017
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Holger Fink
Yulia Klimova
Claudia Czado
Jakob Stöber
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Representing Sparse Gaussian DAGs as Sparse R-vines Allowing for Non-Gaussian Dependence
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2017
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Dominik Müller
Claudia Czado
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+
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D-vine quantile regression with discrete variables
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2017
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Niklas Schallhorn
Daniel Kraus
Thomas Nagler
Claudia Czado
|
+
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Heavy tailed spatial autocorrelation models
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2017
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Alexander Kreuzer
Tobias Erhardt
Thomas Nagler
Claudia Czado
|
+
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Growing simplified vine copula trees: improving Dißmann's algorithm
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2017
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Daniel Kraus
Claudia Czado
|
+
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D-vine quantile regression with discrete variables
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2017
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Niklas Schallhorn
Claudia Czado
|
+
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Dependence modeling for recurrent event times subject to right-censoring with D-vine copulas
|
2017
|
Nicole Barthel
Candida Geerdens
Claudia Czado
Paul Janssen
|
+
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Dependence Modeling in Ultra High Dimensions with Vine Copulas and the Graphical Lasso
|
2017
|
Dominik Müller
Claudia Czado
|
+
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A D-vine copula based model for repeated measurements extending linear mixed models with homogeneous correlation structure
|
2017
|
Matthias Killiches
Claudia Czado
|
+
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Stress Testing German Industry Sectors: Results from a Vine Copula Based Quantile Regression
|
2017
|
Matthias Fischer
Daniel Kraus
Marius Pfeuffer
Claudia Czado
|
+
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Selection of Sparse Vine Copulas in High Dimensions with the Lasso
|
2017
|
Dominik Müller
Claudia Czado
|
+
PDF
Chat
|
D-vine copula based quantile regression
|
2016
|
Daniel Kraus
Claudia Czado
|
+
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Using model distances to investigate the simplifying assumption, goodness-of-fit and truncation levels for vine copulas
|
2016
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Matthias Killiches
Daniel Kraus
Claudia Czado
|
+
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Using model distances to investigate the simplifying assumption, model selection and truncation levels for vine copulas
|
2016
|
Matthias Killiches
Daniel Kraus
Claudia Czado
|
+
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Model selection for discrete regular vine copulas
|
2016
|
Anastasios Panagiotelis
Claudia Czado
Harry Joe
Jakob Stöber
|
+
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Evading the curse of dimensionality in nonparametric density estimation with simplified vine copulas
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2016
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Thomas Nagler
Claudia Czado
|
+
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Regime switching vine copula models for global equity and volatility indices
|
2016
|
Holger Fink
Yulia Klimova
Claudia Czado
Jakob Stöber
|
+
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Vine copula based inference of multivariate event time data
|
2016
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Nicole Barthel
Candida Geerdens
Matthias Killiches
Paul Janssen
Claudia Czado
|
+
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Vine copula based likelihood estimation of dependence patterns in multivariate event time data
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2016
|
Nicole Barthel
Candida Geerdens
Matthias Killiches
Paul Janssen
Claudia Czado
|
+
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Vine copula based inference of multivariate event time data
|
2016
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Nicole Barthel
Candida Geerdens
Matthias Killiches
Paul Janssen
Claudia Czado
|
+
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Examination and visualisation of the simplifying assumption for vine copulas in three dimensions
|
2016
|
Matthias Killiches
Daniel Kraus
Claudia Czado
|
+
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Using model distances to investigate the simplifying assumption, model selection and truncation levels for vine copulas
|
2016
|
Matthias Killiches
Claudia Czado
|
+
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Regime switching vine copula models for global equity and volatility indices
|
2016
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Holger Fink
Yulia Klimova
Claudia Czado
Jakob Stöber
|
+
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Vine copula based likelihood estimation of dependence patterns in multivariate event time data
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2016
|
Nicole Barthel
Candida Geerdens
Matthias Killiches
Paul Janssen
Claudia Czado
|
+
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Representing sparse Gaussian DAGs as sparse R-vines allowing for non-Gaussian dependence
|
2016
|
Dominik Müller
Claudia Czado
|
+
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Examination and visualisation of the simplifying assumption for vine copulas in three dimensions
|
2016
|
Matthias Killiches
Daniel Kraus
Claudia Czado
|
+
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D-vine copula based quantile regression
|
2015
|
Daniel Kraus
Claudia Czado
|
+
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Model distances for vine copulas in high dimensions with application to testing the simplifying assumption
|
2015
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Matthias Killiches
Daniel Kraus
Claudia Czado
|
+
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Model distances for vine copulas in high dimensions
|
2015
|
Matthias Killiches
Daniel Kraus
Claudia Czado
|
+
PDF
Chat
|
Pair-Copula Bayesian Networks
|
2015
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Alexander Bauer
Claudia Czado
|
+
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Block-Maxima of Vines
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2015
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Matthias Killiches
Claudia Czado
|
+
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Bayesian total loss estimation using shared random effects
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2015
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Carolin Baumgartner
Lutz F. Gruber
Claudia Czado
|
+
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Evading the curse of dimensionality in multivariate kernel density estimation with simplified vines
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2015
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Thomas Nagler
Claudia Czado
|
+
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Comorbidity of chronic diseases in the elderly: Patterns identified by a copula design for mixed responses
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2015
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Jakob Stöber
Hyokyoung G. Hong
Claudia Czado
Pulak Ghosh
|
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PDF
Chat
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Spatial composite likelihood inference using local C-vines
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2015
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Tobias Erhardt
Claudia Czado
Ulf Schepsmeier
|
+
PDF
Chat
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R-Vine Models for Spatial Time Series with an Application to Daily Mean Temperature
|
2015
|
Tobias Erhardt
Claudia Czado
Ulf Schepsmeier
|
+
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Sequential Bayesian Model Selection of Regular Vine Copulas
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2015
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Lutz F. Gruber
Claudia Czado
|
+
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Conditional quantiles and tail dependence
|
2015
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Carole Bernard
Claudia Czado
|
+
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Standardized drought indices: A novel uni- and multivariate approach
|
2015
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Tobias Erhardt
Claudia Czado
|
+
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Block-Maxima of Vines
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2015
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Matthias Killiches
Claudia Czado
|
+
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Model distances for vine copulas in high dimensions
|
2015
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Matthias Killiches
Daniel Kraus
Claudia Czado
|
+
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D-vine copula based quantile regression
|
2015
|
Daniel Kraus
Claudia Czado
|
+
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Spatial composite likelihood inference using local C-vines
|
2014
|
Tobias Erhardt
Claudia Czado
Ulf Schepsmeier
|
+
PDF
Chat
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COPAR—multivariate time series modeling using the copula autoregressive model
|
2014
|
Eike Christian Brechmann
Claudia Czado
|
+
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R-vine Models for Spatial Time Series with an Application to Daily Mean Temperature
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2014
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Tobias Erhardt
Claudia Czado
Ulf Schepsmeier
|
+
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Bayesian Risk Analysis
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2014
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Claudia Czado
Eike Christian Brechmann
|
+
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Spatial composite likelihood inference using local C-vines
|
2014
|
Tobias Erhardt
Claudia Czado
Ulf Schepsmeier
|
+
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R-vine Models for Spatial Time Series with an Application to Daily Mean Temperature
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2014
|
Tobias Erhardt
Claudia Czado
Ulf Schepsmeier
|
+
PDF
Chat
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Total loss estimation using copula-based regression models
|
2013
|
Nicole Krämer
Eike Brechmann
Daniel Silvestrini
Claudia Czado
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+
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A Bayesian linear model for the high-dimensional inverse problem of seismic tomography
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2013
|
Ran Zhang
Claudia Czado
Karin Sigloch
|
+
PDF
Chat
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A Vine-copula Based Adaptive MCMC Sampler for Efficient Inference of Dynamical Systems
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2013
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Daniel Schmidl
Claudia Czado
Sabine Hug
Fabian J. Theis
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+
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Non nested model selection for spatial count regression models with application to health insurance
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2013
|
Claudia Czado
Holger Schabenberger
V. Erhardt
|
+
PDF
Chat
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Flexible Dependence Modeling of Operational Risk Losses and Its Impact on Total Capital Requirements
|
2013
|
Eike Brechmann
Claudia Czado
Sandra Paterlini
|
+
PDF
Chat
|
Selecting and estimating regular vine copulae and application to financial returns
|
2012
|
Jeffrey Dissmann
Eike Brechmann
Claudia Czado
Dorota Kurowicka
|
+
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Total loss estimation using copula-based regression models
|
2012
|
Nicole Kraemer
Eike Brechmann
Daniel Silvestrini
Claudia Czado
|
+
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SCOMDY models based on pair-copula constructions with application to exchange rates
|
2012
|
Aleksey Min
Claudia Czado
|
+
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Pair Copula Constructions for Multivariate Discrete Data
|
2012
|
Anastasios Panagiotelis
Claudia Czado
Harry Joe
|
+
PDF
Chat
|
Maximum likelihood estimation of mixed C-vines with application to exchange rates
|
2012
|
Claudia Czado
Ulf Schepsmeier
Aleksey Min
|
+
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COPAR - Multivariate time series modeling using the COPula AutoRegressive model
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2012
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Eike Christian Brechmann
Claudia Czado
|
+
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Detecting regime switches in the dependence structure of high dimensional financial data
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2012
|
Jakob Stoeber
Claudia Czado
|
+
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Selecting and estimating regular vine copulae and application to financial returns
|
2012
|
Jeffrey Dissmann
Eike Christian Brechmann
Claudia Czado
Dorota Kurowicka
|
+
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Modeling high dimensional time-varying dependence using D-vine SCAR models
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2012
|
Carlos Almeida
Claudia Czado
Hans Manner
|
+
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Simplified Pair Copula Constructions --- Limits and Extensions
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2012
|
Jakob Stöber
Harry Joe
Claudia Czado
|
+
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COPAR - Multivariate time series modeling using the COPula AutoRegressive model
|
2012
|
Eike Christian Brechmann
Claudia Czado
|
+
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Total loss estimation using copula-based regression models
|
2012
|
Nicole Kraemer
Eike Brechmann
Daniel Silvestrini
Claudia Czado
|
+
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Detecting regime switches in the dependence structure of high dimensional financial data
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2012
|
Jakob Stoeber
Claudia Czado
|
+
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Selecting and estimating regular vine copulae and application to financial returns
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2012
|
Jeffrey Dissmann
Eike Christian Brechmann
Claudia Czado
Dorota Kurowicka
|
+
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Pair-copula Bayesian networks
|
2012
|
Alexander Bauer
Claudia Czado
|
+
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Bayesian model selection for D-vine pair-copula constructions
|
2011
|
Aleksey Min
Claudia Czado
|
+
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A mixed copula model for insurance claims and claim sizes
|
2011
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Claudia Czado
Rainer Kastenmeier
Eike Christian Brechmann
Aleksey Min
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Grundlagen der Wahrscheinlichkeitstheorie und Statistik
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2011
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Claudia Czado
Thorsten Schmidt
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Vergleich von Schätzern: Optimalitätstheorie
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2011
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Claudia Czado
Thorsten Schmidt
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Bayesian Inference for D-Vines: Estimation and Model Selection
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2010
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Claudia Czado
Aleksey Min
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Sampling Count Variables with Specified Pearson Correlation: A Comparison Between a Naive and a C-Vine Sampling Approach
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2010
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V. Erhardt
Claudia Czado
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Modeling individual migraine severity with autoregressive ordered probit models
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2010
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Claudia Czado
Anette Heyn
Gernot Müller
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Efficient maximum likelihood estimation of copula based meta -distributions
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2010
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Ran Zhang
Claudia Czado
Aleksey Min
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Modeling Longitudinal Data Using a Pair-Copula Decomposition of Serial Dependence
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2010
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Michael S. Smith
Aleksey Min
Carlos Almeida
Claudia Czado
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Modeling dependent yearly claim totals including zero claims in private health insurance
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2010
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V. Erhardt
Claudia Czado
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Modelling Longitudinal Data Using a Pair-Copula Decomposition of Serial Dependence
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2010
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Michael S. Smith
Aleksey Min
Carlos Almeida
Claudia Czado
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Testing for zero-modification in count regression models.
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2010
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Aleksey Min
Claudia Czado
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Pair-Copula Constructions of Multivariate Copulas
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2010
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Claudia Czado
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A method for approximately sampling high-dimensional count variables with prespecified Pearson correlation.
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2010
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V. Erhardt
Claudia Czado
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Finite sample properties of the QMLE in the ACD-ECOGARCH(1,1) model
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2010
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Claudia Czado
Stephan Haug
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A mixed autoregressive probit model for ordinal longitudinal data
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2009
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Cristiano Varin
Claudia Czado
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Model selection strategies for identifying most relevant covariates in homoscedastic linear models
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2009
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Aleksey Min
Hajo Holzmann
Claudia Czado
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Predictive Model Assessment for Count Data
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2009
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Claudia Czado
Tilmann Gneiting
Leonhard Held
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<i>Linear Mixed Models – A Practical Guide Using Statistical Software</i>. B. T. West, K. B. Welch and A. T. Galecki (2006). London: Chapman & Hall/CRC. ISBN: 978‐1‐584‐88480‐4
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2009
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Claudia Czado
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Modelling transport mode decisions using hierarchical logistic regression models with spatial and cluster effects
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2008
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Claudia Czado
Sergij Prokopenko
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PDF
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Does a Gibbs sampler approach to spatial Poisson regression models outperform a single site MH sampler?
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2008
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Susanne Gschlößl
Claudia Czado
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Modeling dependencies between rating categories and their effects on prediction in a credit risk portfolio
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2008
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Claudia Czado
Carolin Pflüger
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An Exponential Continuous-Time GARCH Process
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2007
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Stephan Haug
Claudia Czado
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An Exponential Continuous-Time GARCH Process
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2007
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Stephan Haug
Claudia Czado
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Zero-inflated generalized Poisson models with regression effects on the mean, dispersion and zero-inflation level applied to patent outsourcing rates
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2007
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Claudia Czado
V. Erhardt
Aleksey Min
Stefan Wagner
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Book Review: Interpreting standard and nonstandard log‐linear models. By P. Mair
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2007
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Claudia Czado
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PDF
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State space mixed models for longitudinal observations with binary and binomial responses
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2007
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Claudia Czado
Peter X.‐K. Song
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Pair-copula constructions of multiple dependence
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2007
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Kjersti Aas
Claudia Czado
Arnoldo Frigessi
Henrik Bakken
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Modelling count data with overdispersion and spatial effects
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2006
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Susanne Gschlößl
Claudia Czado
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A nonparametric test for similarity of marginals—With applications to the assessment of population bioequivalence
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2006
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G Freĭtag
Claudia Czado
Axel Munk
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Choosing the link function and accounting for link uncertainty in generalized linear models using Bayes factors
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2006
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Claudia Czado
Adrian E. Raftery
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Book Review: Nonlinear Regression. By G. A. F. Seber and C. J. Wild
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2006
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Claudia Czado
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Quasi maximum likelihood estimation and prediction in the compound Poisson ECOGARCH(1,1) model
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2006
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Claudia Czado
Stephan Haug
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Validating linear restrictions in linear regression models with general error structure
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2006
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Hajo Holzmann
Aleksey Min
Claudia Czado
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A fractionally integrated ECOGARCH process
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2006
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Stephan Haug
Claudia Czado
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Calculation of LTC Premiums Based on Direct Estimates of Transition Probabilities
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2005
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Florian Helms
Claudia Czado
Susanne Gschlößl
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Calculation of LTC Premiums Based on Direct Estimates of Transition Probabilities
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2005
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Florian Helms
Claudia Czado
Susanne Gschlößl
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Consistency and asymptotic normality of the maximum likelihood estimator in a zero-inflated generalized Poisson regression
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2005
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Claudia Czado
Aleksey Min
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Introducing and evaluating a Gibbs sampler for spatial Poisson regression models
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2005
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Susanne Gschlößl
Claudia Czado
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Modeling migraine severity with autoregressive ordered probit models
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2005
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Claudia Czado
Anette Heyn
Gernot Müller
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Einführung zu Markov Chain Monte Carlo Verfahren mit Anwendung auf Gesamtschadenmodelle
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2004
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Claudia Czado
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Modeling Transport Mode Decisions Using Hierarchical Binary Spatial Regression Models with Cluster Effects
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2004
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Claudia Czado
Sergij Prokopenko
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Einführung zu Markov Chain Monte Carlo Verfahren mit Anwendung auf Gesamtschadenmodelle
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2003
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Claudia Czado
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Theoretical Foundations of Autoregressive Models for Time Series on Acyclic Directed Graphs
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2003
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Ralph Högn
Claudia Czado
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Quantifying overdispersion effects in count regression data
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2002
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Claudia Czado
I. Sikora
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Bootstrap methods for the nonparametric assessment of population bioequivalence and similarity of distributions
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2001
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Claudia Czado
Axel Munk
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Multivariate regression analysis of panel data with binary outcomes applied to unemployment data
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2000
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Claudia Czado
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Noncanonical links in generalized linear models – when is the effort justified?
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2000
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Claudia Czado
Axel Munk
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Assessing the similarity of distributions - finite sample performance of the empirical mallows distance
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1998
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Claudia Czado
Axel Munk
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Nonparametric Validation of Similar Distributions and Assessment of Goodness of Fit
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1998
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Axel Munk
Claudia Czado
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On selecting parametric link transformation families in generalized linear models
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1997
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Claudia Czado
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Bayesian Inference for Semiparametric Binary Regression
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1996
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Michael A. Newton
Claudia Czado
Rick Chappell
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Bayesian Inference for Semiparametric Binary Regression
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1996
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Michael A. Newton
Claudia Czado
Rick Chappell
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Parametric link modification of both tails in binary regression
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1994
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Claudia Czado
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Bayesian inference of binary regression models with parametric link
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1994
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Claudia Czado
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Norm restricted maximum likelihood estimators for binary regression models with parametric link
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1993
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Claudia Czado
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The effect of link misspecification on binary regression inference
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1992
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Claudia Czado
Thomas J. Santner
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Orthogonalizing parametric link transformation families in binary regression analysis
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1992
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Claudia Czado
Thomas J. Santner
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On Link Selection in Generalized Linear Models
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1992
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Claudia Czado
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