Statistical Stationarity

Statistical Stationarity is a stochastic property of a time series in which the joint probability distribution remains invariant over time, thereby ensuring that statistical features such as mean, variance, and autocorrelation are constant across time epochs.

427

Publications

44.7K

Citations

877

Authors

501

Institutions

Publications per year

2017–2026

60

Variants

Stationarity

Authors

877

  1. SJ
    Stephen J. Leybourne

    University of Nottingham, United Kingdom

    6 publications · 251 citations

    6

    h-index

  2. UG
    Ulf Grenander

    Brown University, United States

    6 publications · 1.4K citations

    6

    h-index

  3. MR
    Murray Rosenblatt

    University of California San Diego, United States

    5 publications · 817 citations

    5

    h-index

  4. RT
    Robert Taylor

    University of Nottingham, United Kingdom

    4 publications · 296 citations

    4

    h-index

  5. AH
    Andrew Harvey

    University of Cambridge, United Kingdom

    4 publications · 286 citations

    4

    h-index

1–5 of 877

Venues

  1. Journal of Time Series Analysis

    13 publications · 1.6K citations

    13

    h-index

  2. Economics Letters

    10 publications · 583 citations

    10

    h-index

  3. SSRN Electronic Journal

    Repository · 8 publications · 234 citations

    8

    h-index

  4. Applied Economics

    8 publications · 218 citations

    8

    h-index

  5. Journal of Econometrics

    8 publications · 14.1K citations

    8

    h-index

1–5