Short-range Dependence

Short-Range Dependence is a property of a stationary stochastic process in which the autocovariance function decays sufficiently fast—typically exponentially or summable over time—so that the dependence between observations diminishes with temporal distance, distinguishing it from long-range dependence where correlations exhibit slow, non-summable decay.

227

Publications

12.7K

Citations

539

Authors

324

Institutions

Publications per year

2017–2026

34

Variants

Short-memory Process

Authors

539

  1. SN
    Soumendra N. Lahiri

    Iowa State University, United States

    4 publications · 306 citations

    4

    h-index

  2. MS
    Murad S. Taqqu

    Boston University, United States

    4 publications · 360 citations

    4

    h-index

  3. MK
    Marwan Krunz

    University of Arizona, United States

    3 publications · 89 citations

    3

    h-index

  4. CC
    C. C. Heyde

    Australian National University, Australia

    3 publications · 142 citations

    3

    h-index

  5. CJ
    Chuanyi Ji

    Rensselaer Polytechnic Institute, United States

    3 publications · 168 citations

    3

    h-index

1–5 of 539

Venues

  1. The Annals of Statistics

    12 publications · 918 citations

    12

    h-index

  2. Nuclear Physics A

    6 publications · 165 citations

    6

    h-index

  3. Physical Review Letters

    PRL · 5 publications · 460 citations

    5

    h-index

  4. Bernoulli

    4 publications · 130 citations

    4

    h-index

  5. The Journal of Chemical Physics

    4 publications · 63 citations

    4

    h-index

1–5