Modeling asymmetrically dependent multivariate ocean data using truncated copulas-Reference-Cited by-同舟云学术

Modeling asymmetrically dependent multivariate ocean data using truncated copulas

Published:2022-01 Issue: Volume:244 Page:110226
ISSN:0029-8018
Container-title:Ocean Engineering
language:en
Short-container-title:Ocean Engineering

Author:

Ma Pengfei,Zhang Yi

Funder

National Natural Science Foundation of China

Tsinghua University

Publisher

Elsevier BV

Subject

Ocean Engineering,Environmental Engineering

Reference93 articles.

1. Reliability assessment of marine structures considering multidimensional dependency of the variables;Aghatise;Ocean Engineering,2021

2. Approximation of bivariate probability density of individual wave steepness and height with copulas;Antão;Coastal Engineering,2014

3. The nontruncated marginal of a truncated bivariate normal distribution;Arnold;Psychometrika,1993

4. Joint probability distribution of coastal winds and waves using a log-transformed kernel density estimation and mixed copula approach;Bai;Ocean Engineering,2020

5. Joint long term description of environmental parameters for structural response calculations;Bitner-Gregersen;Proceedings of the Second International Workshop on Wave Hindcasting and Forecasting,1989

Cited by 16 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. Joint probabilistic modeling of extreme wind-wave conditions under typhoon impact and applications to extreme response analysis of floating offshore wind turbines;Engineering Structures;2024-11

2. Modeling asymmetrically dependent automobile bodily injury claim data using Khoudraji Copulas;SIGMA J ENG NAT SCI;2024

3. Copula-based joint tropical cyclone-induced wind and wave risk analysis: considering the effect of uncertainty using Bayesian inference;Natural Hazards;2024-07-16

4. A time-varying copula approach for describing seasonality in multivariate ocean data;Marine Structures;2024-03

5. Environmental parameter design for jack-up platforms based on FEM-BPNN-JPA coupled approach;Ocean Engineering;2024-01