Periodic Component Estimation

Periodic Component Estimation is a methodological framework in time series analysis that isolates and quantifies the recurring cyclical patterns within seasonal data by distinguishing them from trend, irregular, and noise components through statistical or signal processing techniques.

168

Publications

7.3K

Citations

392

Authors

232

Institutions

Publications per year

2017–2026

35

Authors

392

  1. MO
    Marius Ooms

    Vrije Universiteit Amsterdam, Netherlands

    5 publications · 119 citations

    5

    h-index

  2. RV
    Roman V. Baluev

    St Petersburg University, Russia

    3 publications · 116 citations

    3

    h-index

  3. SJ
    Siem Jan Koopman

    Vrije Universiteit Amsterdam, Netherlands

    3 publications · 84 citations

    3

    h-index

  4. TN
    Tomohiro Nakatani

    NTT (Japan), Japan

    3 publications · 98 citations

    3

    h-index

  5. KI
    Kentaro Ishizuka

    NTT (Japan), Japan

    3 publications · 98 citations

    3

    h-index

1–5 of 392

Venues

  1. Biometrika

    5 publications · 271 citations

    5

    h-index

  2. 5

    h-index

  3. IEEE Transactions on Signal Processing

    4 publications · 204 citations

    4

    h-index

  4. Journal of Time Series Analysis

    3 publications · 94 citations

    3

    h-index

  5. Biological Rhythm Research

    3 publications · 87 citations

    3

    h-index

1–5