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• Introduction; Multivariate Copulae; Vine Copulae; Sampling Count Variables; Micro Correlations and Tail Dependence; Copula Information Criterion; Dependence Comparisons of Vine Copulae; Tail Dependence in Vine Copulae; Counting Vines; Optimal Truncation of Vines; Non-Parametric BBNs vs. Vines; Joint Bayesian Inference of D-Vines with AR(1) Margins; Modeling Dependence Between Financial Returns Using PCC; Dynamic D-Vine Model; Regular Vines: Generation Algorithm and Number of Equivalent Classes;

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• Introduction; Multivariate Copulae; Vine Copulae; Sampling Count Variables; Micro Correlations and Tail Dependence; Copula Information Criterion; Dependence Comparisons of Vine Copulae; Tail Dependence in Vine Copulae; Counting Vines; Optimal Truncation of Vines; Non-Parametric BBNs vs. Vines; Joint Bayesian Inference of D-Vines with AR(1) Margins; Modeling Dependence Between Financial Returns Using PCC; Dynamic D-Vine Model; Regular Vines: Generation Algorithm and Number of Equivalent Classes;

Select Guide Rating

• Introduction; Multivariate Copulae; Vine Copulae; Sampling Count Variables; Micro Correlations and Tail Dependence; Copula Information Criterion; Dependence Comparisons of Vine Copulae; Tail Dependence in Vine Copulae; Counting Vines; Optimal Truncation of Vines; Non-Parametric BBNs vs. Vines; Joint Bayesian Inference of D-Vines with AR(1) Margins; Modeling Dependence Between Financial Returns Using PCC; Dynamic D-Vine Model; Regular Vines: Generation Algorithm and Number of Equivalent Classes;