Lag Features

Lag Features is a time series feature engineering technique that introduces delayed observations of the target variable or exogenous inputs as predictive variables to capture temporal dependencies.

32

Publications

2.2K

Citations

112

Authors

73

Institutions

Publications per year

2017–2026

7

Variants

Time-delayed FeaturesTime-lagged Features

Authors

112

  1. KS
    Klaus Schwarzer

    Christian-Albrechts-Universität zu Kiel, Germany

    1 publications · 21 citations

    1

    h-index

  2. AA
    Alpha A. Lee

    University of Cambridge, United Kingdom

    1 publications · 21 citations

    1

    h-index

  3. HO
    Hirokazu Odaka

    The University of Tokyo, Japan

    1 publications · 27 citations

    1

    h-index

  4. LD
    Leon Duobinis‐Gray

    Louisiana State University Agricultural Center, United States

    1 publications · 50 citations

    1

    h-index

  5. SK
    S. Komossa

    Max Planck Institute for Radio Astronomy, Germany

    1 publications · 21 citations

    1

    h-index

1–5 of 112

Venues

  1. 3

    h-index

  2. The Journal of Geology

    JG · 2 publications · 56 citations

    2

    h-index

  3. Brookings Papers on Economic Activity

    BPEA · 2 publications · 119 citations

    2

    h-index

  4. Journal of Geophysical Research Atmospheres

    JGR · 1 publications · 1.3K citations

    1

    h-index

  5. 1

    h-index

1–5