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Phase-I monitoring of high-dimensional covariance matrix using an adaptive thresholding LASSO rule

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References

2006Multivariate Control Charts for Monitoring Covariance Matrix: A Review118 cited
2018An overview on recent profile monitoring papers (2008–2018) based on conceptual classification scheme117 cited
2012Monitoring the covariance matrix via penalized likelihood estimation59 cited
2019Control charts for variability monitoring in high-dimensional processes52 cited
2016Variable Selection‐based Multivariate Cumulative Sum Control Chart48 cited
2012Monitoring multivariate process variability with individual observations via penalised likelihood estimation45 cited
2014Simultaneous monitoring of process mean vector and covariance matrix via penalized likelihood estimation42 cited
2013A new multivariate EWMA scheme for monitoring covariance matrices40 cited
2013Monitoring the covariance matrix with fewer observations than variables37 cited

Cited by

2024Comprehensive review of high-dimensional monitoring methods: trends, insights, and interconnections24 cited
2023Distribution-free Phase-II monitoring of high-dimensional industrial processes via origin and modified interpoint distance based algorithms17 cited
2024Control charting methods for monitoring high dimensional data streams: A conceptual classification scheme17 cited
2022Nonparametric multivariate covariance chart for monitoring individual observations17 cited

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2022A high-dimensional control chart for monitoring process variability under gauge imprecision effect12 cited