Second-order Stationarity

Second-Order Stationarity is a property of a stochastic process in which the first two moments—mean and autocovariance—are time-invariant, meaning the mean is constant over time and the autocovariance depends only on the lag between observations, not on the specific time points.

35

Publications

2K

Citations

58

Authors

47

Institutions

Publications per year

2017–2026

2

Variants

Wss

Authors

58

  1. SS
    Suhasini Subba Rao

    University of Toledo, United States

    3 publications · 196 citations

    3

    h-index

  2. AV
    Aldo V. Vecchia

    United States Geological Survey, United States

    2 publications · 159 citations

    2

    h-index

  3. MP
    Mohsen Pourahmadi

    Texas A&M University, United States

    2 publications · 72 citations

    2

    h-index

  4. GP
    Guy P. Nason

    University of Bristol, United Kingdom

    2 publications · 130 citations

    2

    h-index

  5. HW
    Hui Wang

    University of Connecticut, United States

    1 publications · 13 citations

    1

    h-index

1–5 of 58

Venues

  1. 4

    h-index

  2. Bernoulli

    3 publications · 113 citations

    3

    h-index

  3. Journal of Time Series Analysis

    3 publications · 175 citations

    3

    h-index

  4. Journal of Applied Probability

    JAP · 3 publications · 43 citations

    3

    h-index

  5. Econometric Theory

    2 publications · 25 citations

    2

    h-index

1–5