Pages that link to "Item:Q1658513"
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The following pages link to Model selection for discrete regular vine copulas (Q1658513):
Displaying 19 items.
- Bayesian model selection of regular vine copulas (Q1631599) (← links)
- Model distances for vine copulas in high dimensions (Q1702012) (← links)
- Model selection in sparse high-dimensional vine copula models with an application to portfolio risk (Q2001097) (← links)
- Common sampling orders of regular vines with application to model selection (Q2008096) (← links)
- pyvine: the Python package for regular vine copula modeling, sampling and testing (Q2023903) (← links)
- Multivariate distributions of correlated binary variables generated by pair-copulas (Q2040911) (← links)
- Informative goodness-of-fit for multivariate distributions (Q2074302) (← links)
- Bayesian sequential design for copula models (Q2195747) (← links)
- Data-driven polynomial chaos expansion for machine learning regression (Q2220634) (← links)
- Pair-copula models for analyzing family data (Q2223156) (← links)
- Estimating standard errors in regular vine copula models (Q2259341) (← links)
- Computationally efficient Bayesian estimation of high-dimensional Archimedean copulas with discrete and mixed margins (Q2329809) (← links)
- Pair Copula Constructions for Insurance Experience Rating (Q4690933) (← links)
- (Q5262090) (← links)
- Vine copula models with GLM and sparsity (Q5349169) (← links)
- Bayesian design for minimizing prediction uncertainty in bivariate spatial responses with applications to air quality monitoring (Q6183910) (← links)
- A copula-based portrayal of the collider bias (Q6580647) (← links)
- Bayesian geostatistical modeling for discrete-valued processes (Q6626617) (← links)
- Decomposition and graphical correspondence analysis of checkerboard copulas (Q6641511) (← links)
