Pages that link to "Item:Q1616352"
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The following pages link to Nonparametric estimation of simplified vine copula models: comparison of methods (Q1616352):
Displaying 14 items.
- Evading the curse of dimensionality in nonparametric density estimation with simplified vine copulas (Q93079) (← links)
- Estimation of high-order moment-independent importance measures for Shapley value analysis (Q821916) (← links)
- Estimating non-simplified vine copulas using penalized splines (Q1702016) (← links)
- A streaming algorithm for bivariate empirical copulas (Q1738002) (← links)
- Informative goodness-of-fit for multivariate distributions (Q2074302) (← links)
- Modelling the association in bivariate survival data by using a Bernstein copula (Q2135890) (← links)
- A copula-based method of classifying individuals into binary disease categories using dependent biomarkers (Q2220308) (← links)
- Explaining predictive models using Shapley values and non-parametric vine copulas (Q2236381) (← links)
- Estimating standard errors in regular vine copula models (Q2259341) (← links)
- Nonparametric C- and D-vine-based quantile regression (Q2667760) (← links)
- Examination and visualisation of the simplifying assumption for vine copulas in three dimensions (Q5361179) (← links)
- (Q5371435) (← links)
- Modelling credit card exposure at default using vine copula quantile regression (Q6168620) (← links)
- Solving Estimating Equations With Copulas (Q6567910) (← links)