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Bayesian updating for Copula-based joint probability modeling of wind speed, wind direction, and air temperature under parameter uncertainty

delete2026-07-04
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PRE
AI
M
Mingjin Zhang
H
Hongbing Liu *
H
Haochao Wang
DOI：10.1016/j.probengmech.2026.103985delete
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Abstract

Abstract

En 中文
• Integrated parametric marginals and Bernstein Copula in Bayesian updating framework. • Developed and compared three Copula-based strategies for trivariate joint modeling. • Revealed uncertainty convergence and dependence evolution with increasing data. • Quantified errors in joint extreme estimation caused by neglecting dependence.

Journal

Probabilistic Engineering Mechanics cover
Probabilistic Engineering Mechanics
IF:
3.5
Papers:
1.7K
Citations:
4.1K

Organization

S
southwest jiaotong university
Scholars:
7.6K
Papers: 2.7K
Citations: 0
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