On multivariate asymmetric dependence using multivariate skew-normal copula-based regression

Author:

Wei Zheng,Kim Daeyoung

Publisher

Elsevier BV

Subject

Applied Mathematics,Artificial Intelligence,Theoretical Computer Science,Software

Cited by 21 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Nonlinear Effects in the Asymmetric Copula-Based Stochastic Frontier Model;International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems;2023-12

2. Smooth test for multivariate skew-elliptical distributions;Proceedings of the 2023 7th International Conference on Advances in Image Processing;2023-11-17

3. On the weak convergence and the uniform-in-bandwidth consistency of the general conditional $U$-processes based on the copula representation: multivariate setting;Hacettepe Journal of Mathematics and Statistics;2023-10-31

4. Mystery of prophylactic vitamin D supplementation in healthy children: a look at vitamin D levels;European Journal of Pediatrics;2023-08-17

5. An expectation conditional maximization algorithm for the skew-normal based stochastic frontier model;Computational Statistics;2023-05-02

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