Breakpoint Segmentation

Breakpoint Segmentation is a statistical method that identifies distinct regimes in a time series by partitioning the data into segments separated by structural breaks, where each segment exhibits homogeneous dynamic properties.

25

Publications

3.2K

Citations

74

Authors

49

Institutions

Publications per year

2017–2026

9

Authors

74

  1. VM
    Vito M. R. Muggeo

    University of Palermo, Italy

    2 publications · 2.1K citations

    2

    h-index

  2. WH
    Wu-Chih Hu

    National Penghu University of Science and Technology, Taiwan

    2 publications · 42 citations

    2

    h-index

  3. RL
    Ralf Lindau

    University of Bonn, Germany

    2 publications · 67 citations

    2

    h-index

  4. ÉT
    Éric Tannier

    Centre National de la Recherche Scientifique, France

    2 publications · 66 citations

    2

    h-index

  5. CG
    Christian Gautier

    Université Claude Bernard Lyon 1, France

    2 publications · 66 citations

    2

    h-index

1–5 of 74

Venues

  1. Bioinformatics

    3 publications · 295 citations

    3

    h-index

  2. Algorithms

    1 publications · 32 citations

    1

    h-index

  3. Journal of Statistical Computation and Simulation

    JSCS · 1 publications · 154 citations

    1

    h-index

  4. International Journal of Climatology

    1 publications · 39 citations

    1

    h-index

  5. Clinical Microbiology and Infection

    CMI · 1 publications · 19 citations

    1

    h-index

1–5