Personalized Tucker Decomposition: Modeling Commonality and Peculiarity on Tensor Data
We propose personalized Tucker decomposition (perTucker) to address the limitations of
traditional tensor decomposition methods in capturing heterogeneity across different …
traditional tensor decomposition methods in capturing heterogeneity across different …
Monitoring of high-dimensional and high-frequency data streams: A nonparametric approach
Z Wang, X Li, Y Wang, Y Ma, L Xue - Quality Technology & …, 2024 - Taylor & Francis
High-dimensional and high-frequency data streams (HHDS) have become widely available
with the prevalence of data-acquisition technologies. Because HHDS have the …
with the prevalence of data-acquisition technologies. Because HHDS have the …
Statistical Process Monitoring from Industry 2.0 to Industry 4.0: Insights into Research and Practice
Industry 4.0 has emerged as an important era for process monitoring and improvement. Our
expository paper provides a historical perspective on research and practice of statistical …
expository paper provides a historical perspective on research and practice of statistical …
Quickest Change Detection with Confusing Change
In the problem of quickest change detection (QCD), a change occurs at some unknown time
in the distribution of a sequence of independent observations. This work studies a QCD …
in the distribution of a sequence of independent observations. This work studies a QCD …