2Bedford, T., Cooke, R.M. Probability Density Decomposition for Conditionally Dependent Random Variables Modeled by Vines[J]. Annals of Mathematics and Artificial Intelligence, 2001, (32).
3Roger, B. Nelson. An Introduction to Copulas[M]. New York: SpringerVerlog, 1999.
4R.M. Cooke. Markov and Entropy Properties of Tree-and Vine-Dependent Variables [J]. Proceedings of the ASA Section on Bayesian Statistical Science, 1997.
2JoeH. Family of m-variate Distributions with Given Margins and m(m-l)/2 Bivariate Dependence ParametersfJ], Distributions withFixed Marginals and Related Topics, 1996,28.
3BedfordT, R. M. Cooke. Probability Density Decomposition for Condi-tionally Dependent Random Variables Modeled by Vines[J].Annals ofMathematics and Artificial Intelligence, 2001,32.
4AasK, Czado C, Frigessi A, Bakken H. Pair-copula Constructions ofMultiple DependencefJ].Insurance: Mathematics and Economics,2009, 44.
5MinA, Czado C. Bayesian Model Selection for D-vine Pair-copulaConstructions^].Canadian Journal of Statistics, 2011, 39(2).
