Pages that link to "Item:Q1800071"
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The following pages link to Mixture of D-vine copulas for modeling dependence (Q1800071):
Displaying 16 items.
- D-vine copula based quantile regression (Q112600) (← links)
- Modeling dependence based on mixture copulas and its application in risk management (Q603180) (← links)
- Bayesian model selection of regular vine copulas (Q1631599) (← links)
- EM algorithms for estimating the Bernstein copula (Q1660208) (← links)
- Vine copulas for mixed data: multi-view clustering for mixed data beyond meta-Gaussian dependencies (Q1698838) (← links)
- Analyzing dependent data with vine copulas. A practical guide with R (Q1738351) (← links)
- The effectiveness of TARP-CPP on the US banking industry: a new copula-based approach (Q1752290) (← links)
- Sequential truncation of \(R\)-vine copula mixture model for high-dimensional datasets (Q1980359) (← links)
- A copula-based GLMM model for multivariate longitudinal data with mixed-types of responses (Q2023800) (← links)
- A mixture of regular vines for multiple dependencies (Q2039146) (← links)
- Analysis of ordinal and continuous longitudinal responses using pair copula construction (Q2168557) (← links)
- Semiparametric bivariate modelling with flexible extremal dependence (Q2302487) (← links)
- Constraining kernel estimators in semiparametric copula mixture models (Q2419156) (← links)
- (Q5121469) (← links)
- CD-vine model for capturing complex dependence (Q5861182) (← links)
- Distributionally robust portfolio optimization under marginal and copula ambiguity (Q6655814) (← links)