Multivariate Thresholding

Multivariate Thresholding is a threshold-based alerting method that establishes simultaneous bounds across multiple interdependent variables to detect anomalous system states, distinguished from univariate approaches by its incorporation of cross-variable dependencies and multivariate statistical behavior.

9

Publications

146

Citations

23

Authors

15

Institutions

Publications per year

2017–2026

3

Authors

23

  1. JL
    Jun Li

    University of California, Riverside, United States

    2 publications · 43 citations

    2

    h-index

  2. JE
    J.H.J. Einmahl

    Tilburg University, Netherlands

    1 publications · 25 citations

    1

    h-index

  3. XD
    Xiaogang Dong

    Changchun University of Technology

    1 publications · 19 citations

    1

    h-index

  4. SA
    Syed Amjad Ali

    Bilkent University, Türkiye

    1 publications · 14 citations

    1

    h-index

  5. CZ
    Chunhui Zhao

    State Key Laboratory of Industrial Control Technology

    1 publications · 15 citations

    1

    h-index

1–5 of 23

Venues

  1. 1

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  2. Journal of Multivariate Analysis

    1 publications · 10 citations

    1

    h-index

  3. Applied Mathematical Modelling

    1 publications · 19 citations

    1

    h-index

  4. Control Engineering Practice

    1 publications · 15 citations

    1

    h-index

  5. arXiv (Cornell University)

    Repository · 1 publications · 18 citations

    1

    h-index

1–5