Autocorrelation Coefficient Estimation

Autocorrelation Coefficient Estimation is the statistical procedure that quantifies the degree of linear dependence between a time series and its lagged version over successive time intervals, serving as a fundamental method for analyzing temporal dependencies in autocorrelation analysis.

216

Publications

17.8K

Citations

472

Authors

267

Institutions

Publications per year

2017–2026

27

Authors

472

  1. CT
    Chris Telmer

    Carnegie Mellon University, United States

    3 publications · 751 citations

    3

    h-index

  2. BE
    Bradley E. Huitema

    Western Michigan University, United States

    3 publications · 56 citations

    3

    h-index

  3. ML
    Maxwell L. King

    Monash University, Australia

    3 publications · 166 citations

    3

    h-index

  4. AY
    Amir Yaron

    University of Pennsylvania, United States

    3 publications · 751 citations

    3

    h-index

  5. KS
    Kjetil Storesletten

    University of Oslo, Norway

    3 publications · 751 citations

    3

    h-index

1–5 of 472

Venues

  1. Biometrika

    16 publications · 1.2K citations

    14

    h-index

  2. Journal of Econometrics

    6 publications · 285 citations

    6

    h-index

  3. Econometrica

    6 publications · 259 citations

    6

    h-index

  4. Signal Processing

    5 publications · 255 citations

    5

    h-index

  5. 5

    h-index

1–5