S., S., J., L., V., K., & H.T., N. (2014). Vine copulas as a way to describe and analyze multi-variate dependence in econometrics: Computational motivation and comparison with Bayesian networks and fuzzy approaches.
Chicago Style CitationS., Sriboonchitta, Liu J., Kreinovich V., and Nguyen H.T. Vine Copulas As a Way to Describe and Analyze Multi-variate Dependence in Econometrics: Computational Motivation and Comparison With Bayesian Networks and Fuzzy Approaches. 2014.
MLA CitationS., Sriboonchitta, Liu J., Kreinovich V., and Nguyen H.T. Vine Copulas As a Way to Describe and Analyze Multi-variate Dependence in Econometrics: Computational Motivation and Comparison With Bayesian Networks and Fuzzy Approaches. 2014.
Warning: These citations may not always be 100% accurate.