Sriboonchitta, S., Liu, J., Kreinovich, V., & Nguyen, H. T. (2018). 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 CitationSriboonchitta, Songsak, Jianxu Liu, Vladik Kreinovich, and Hung T. Nguyen. Vine Copulas As a Way to Describe and Analyze Multi-variate Dependence in Econometrics: Computational Motivation and Comparison With Bayesian Networks and Fuzzy Approaches. 2018.
MLA引文Sriboonchitta, Songsak, Jianxu Liu, Vladik Kreinovich, and Hung T. Nguyen. Vine Copulas As a Way to Describe and Analyze Multi-variate Dependence in Econometrics: Computational Motivation and Comparison With Bayesian Networks and Fuzzy Approaches. 2018.