Lagged Dependence Modeling

Lagged Dependence Modeling is a time series analysis framework that characterizes the temporal dependence structure in hydrologic data by identifying and quantifying the delayed influences of past system states on current observations, distinguishing it from instantaneous or short-memory models through its explicit focus on prolonged, sequential hydrological memory effects.

20

Publications

1.1K

Citations

33

Authors

24

Institutions

Publications per year

2017–2026

1

Authors

33

  1. GH
    Guillaume Horny

    Banque de France, France

    2 publications · 53 citations

    2

    h-index

  2. MP
    Matteo Picchio

    Marche Polytechnic University, Italy

    2 publications · 53 citations

    2

    h-index

  3. DC
    Dingjiang Chen

    Zhejiang University, China

    1 publications · 18 citations

    1

    h-index

  4. NB
    Nicole Bäuerle

    Karlsruhe Institute of Technology, Germany

    1 publications · 26 citations

    1

    h-index

  5. DP
    Domenico Piccolo

    University of Naples Federico II, Italy

    1 publications · 10 citations

    1

    h-index

1–5 of 33

Venues

  1. Journal of Hydrology

    4 publications · 357 citations

    4

    h-index

  2. SSRN Electronic Journal

    Repository · 2 publications · 62 citations

    2

    h-index

  3. Economics Letters

    2 publications · 32 citations

    2

    h-index

  4. 1

    h-index

  5. 1

    h-index

1–5