Bayesian sequential update for monitoring and control of high-dimensional processes

DOI10.1007/s10479-021-04188-9OpenAlexW3186393377MaRDI QIDQ2095228

Mehmet Turkoz, Sangahn Kim

Publication date: 9 November 2022

Published in: Annals of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10479-021-04188-9

zbMATH Keywords

variable selectionBayesian sequential updatehigh-dimensional processstatistical process monitoring

Mathematics Subject Classification ID

Statistics (62-XX) Applications of statistics (62Pxx) Operations research and management science (90Bxx)

Uses Software

• ElemStatLearn

Cites Work

• New indices for the evaluation of the statistical properties of Bayesian \(\overline{x}\) control charts for short runs
• A Double Multivariate Exponentially Weighted Moving Average (dMEWMA) Control Chart for a Process Location Monitoring
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• Multivariate Bayesian Control Chart
• Applying State Space to SPC: Monitoring Multivariate Time Series
• A New Two-Sided Cumulative Sum Quality Control Scheme
• A Multivariate Exponentially Weighted Moving Average Control Chart
• Dynamic Filtering of Time-Varying Sparse Signals via <inline-formula> <tex-math notation="LaTeX">$\ell _1$</tex-math> </inline-formula> Minimization
• Sparsity and Smoothness Via the Fused Lasso
• Bayes Factors
• Feedback quality adjustment with Bayesian state‐space models
• The elements of statistical learning. Data mining, inference, and prediction
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