Piecewise Regression

Piecewise Regression is a statistical modeling technique that belongs to the class of regression methods, distinguished by its incorporation of distinct functional forms or parameter estimates across different intervals of the independent variable, as defined by threshold points.

445

Publications

26.3K

Citations

1.7K

Authors

809

Institutions

Publications per year

2017–2026

178

Authors

1.7K

  1. AB
    Alberto Bemporad

    University of Siena, Italy

    5 publications · 169 citations

    5

    h-index

  2. LG
    Lazaros G. Papageorgiou

    University College London, United Kingdom

    5 publications · 237 citations

    5

    h-index

  3. DP
    Dario Piga

    Dalle Molle Institute for Artificial Intelligence Research, Switzerland

    4 publications · 122 citations

    4

    h-index

  4. MM
    Milica Miočević

    McGill University, Canada

    3 publications · 57 citations

    3

    h-index

  5. YH
    Yuqing Huang

    Guangdong Academy of Medical Sciences, China

    3 publications · 278 citations

    3

    h-index

1–5 of 1.7K

Venues

  1. PLoS ONE

    15 publications · 482 citations

    13

    h-index

  2. Journal of the American Statistical Association

    10 publications · 738 citations

    10

    h-index

  3. Frontiers in Endocrinology

    7 publications · 235 citations

    7

    h-index

  4. Statistics in Medicine

    6 publications · 2.4K citations

    6

    h-index

  5. Scientific Reports

    5 publications · 251 citations

    5

    h-index

1–5