Scripts for copula, vine-copula and Bayesian network methodologies for Submerged Floating Tunnels

Scripts for statistical modeling of submerged floating tunnels: This repository contains scripts developed for the application of Bayesian networks, vine-copula and copula-based models to data related to submerged floating tunnels. The research objective is to investigate the complex relationships between environmental variables, traffic information, and other variables relevant for the safety in submerged floating tunnels. The scripts aim to perform simulations that capture the dependence structure of the observations. The scripts analyze both continuous and discrete data, reflecting the diverse nature of the phenomena under study.

水下悬浮隧道统计建模脚本：本仓库包含针对水下悬浮隧道相关数据，应用贝叶斯网络（Bayesian networks）、藤Copula（vine-copula）及基于Copula的模型所开发的脚本。本研究旨在探究水下悬浮隧道安全相关的环境变量、交通信息及其他变量之间的复杂关联关系。此类脚本可开展能够捕捉观测数据依赖结构的模拟实验，同时支持连续与离散数据的分析，贴合所研究现象的多元属性特征。