Variational Bayesian analysis for Wiener degradation model with random effects

DOI10.1080/03610926.2020.1846747OpenAlexW3110647176MaRDI QIDQ5078866

Yongqiang Lian, Ancha Xu, Shirong Zhou, Yin-cai Tang

Publication date: 25 May 2022

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2020.1846747

zbMATH Keywords

random effectsKullback-Leibler divergencelarge samplecomputational burdenvariational Bayesian approachWiener degradation models

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• BayesDA
• SPLIDA

Cites Work

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• Accelerated degradation models for failure based on geometric Brownian motion and gamma processes
• Wiener processes with random effects for degradation data
• Modelling accelerated degradation data using Wiener diffusion with a time scale transformation
• Degradation-based burn-in with preventive maintenance

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