OpenAlex | Analytical uncertainty quantification approach based on adaptive generalized <scp>co‐Gaussian</scp> process model

Analytical uncertainty quantification approach based on adaptive generalized co‐Gaussian process model

Work

Year: 2022

Type: article

Source: International Journal for Numerical Methods in Engineering

Authors Hua‐Ping Wan, Zhang Zi-nan, Yaozhi Luo, Xin Ma, Michael D. Todd

Institutions Zhejiang University, Shenzhen University, University of California, San Diego

Cites: 38

Cited by: 4

Related to: 10

FWCI: 0.681

Citation percentile (by year/subfield): 58.49

Topic: Probabilistic and Robust Engineering Design

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

Open Access status: closed

Funders National Natural Science Foundation of China, National Key Research and Development Program of China

Grant IDS 51878235, 2021YFF0501001