Mixed D-vine copula-based conditional quantile model for stochastic monthly streamflow simulation-Reference-Cited by-同舟云学术

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Mixed D-vine copula-based conditional quantile model for stochastic monthly streamflow simulation

Published:2024-03 Issue:1 Volume:17 Page:13-20
ISSN:1674-2370
Container-title:Water Science and Engineering
language:en
Short-container-title:Water Science and Engineering

Author:

Wang Wen-zhuo,Dong Zeng-chuan,Zhang Tian-yan,Ren Li,Xue Lian-qing,Wu Teng

Funder

National Postdoctoral Program for Innovative Talents

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Elsevier BV

Subject

Ocean Engineering,Civil and Structural Engineering

Reference33 articles.

1. Pair-copula constructions of multiple dependence;Aas;Insur. Math. Econ.,2009

2. Probability density decomposition for conditionally dependent random variables modeled by vines;Bedford;Ann. Math. Artif. Intell.,2001

3. Multivariate statistical modelling of compound events via pair-copula constructions: Analysis of floods in Ravenna (Italy);Bevacqua;Hydrol. Earth Syst. Sci.,2017

4. Multimodel inference: Understanding AIC and BIC in model selection;Burnham;Socio. Methods Res.,2004

5. A model for association in bivariate life tables and its application in epidemiological studies of familial tendency in chronic disease incidence;Clayton;Biometrika,1978

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1. A novel metric for evaluating hydro-wind-solar energy complementarity;Applied Energy;2024-11

2. Joint probabilistic assessments of four-dimensional flood characteristics using the vine copula-based methodology;Environmental Earth Sciences;2024-08

3. Comprehensive evaluation of extreme hydrometeorological events coincidence and their interrelationships in the Hanjiang River Basin, China;Journal of Hydrology;2024-07

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