Modeling Nonlinearity

Modeling Nonlinearity is a methodological framework within threshold modeling that formally characterizes abrupt or piecewise-regime changes in system behavior by specifying critical thresholds at which the relationship between variables shifts qualitatively, distinguishing it from linear or smooth nonlinear modeling approaches.

492

Publications

25.2K

Citations

1.4K

Authors

666

Institutions

Publications per year

2017–2026

136

Authors

1.4K

  1. RS
    Ruey S. Tsay

    University of Chicago, United States

    7 publications · 2.8K citations

    7

    h-index

  2. DV
    Dick van Dijk

    Erasmus University Rotterdam, Netherlands

    4 publications · 287 citations

    4

    h-index

  3. MR
    Mike R. Jeffrey

    University of Bristol, United Kingdom

    4 publications · 135 citations

    4

    h-index

  4. TA
    Tariq Alkhalifah

    King Abdullah University of Science and Technology, Saudi Arabia

    4 publications · 72 citations

    4

    h-index

  5. HX
    Hui Xu

    National University of Defense Technology, China

    3 publications · 52 citations

    3

    h-index

1–5 of 1.4K

Venues

  1. Journal of the American Statistical Association

    9 publications · 2.7K citations

    9

    h-index

  2. IEEE Access

    6 publications · 195 citations

    6

    h-index

  3. Physica D Nonlinear Phenomena

    6 publications · 519 citations

    6

    h-index

  4. Mathematical Problems in Engineering

    MPE · 6 publications · 153 citations

    6

    h-index

  5. Journal of Business and Economic Statistics

    JBES · 6 publications · 469 citations

    6

    h-index

1–5