Long Memory Models

Long Memory Models is a class of stochastic time series models characterized by a slowly decaying autocorrelation function that captures persistent dependencies over long lags, distinguishing it from short-memory models by exhibiting non-summable correlations indicative of fractional integration in the data-generating process.

1.5K

Publications

215.2K

Citations

2.4K

Authors

1.3K

Institutions

Publications per year

2017–2026

350

Authors

2.4K

  1. LA
    Luis A. Gil‐Alana

    Universidad de Navarra, Spain

    63 publications · 2.5K citations

    28

    h-index

  2. PM
    Peter M. Robinson

    London School of Economics and Political Science, United Kingdom

    25 publications · 2.3K citations

    20

    h-index

  3. JB
    Jan Beran

    University of Konstanz, Germany

    24 publications · 5.9K citations

    18

    h-index

  4. RT
    Richard T. Baillie

    Michigan State University, United States

    21 publications · 3.6K citations

    16

    h-index

  5. LG
    Liudas Giraitis

    London School of Economics and Political Science, United Kingdom

    17 publications · 1.2K citations

    15

    h-index

1–5 of 2.4K

Venues

  1. Journal of Econometrics

    42 publications · 8.9K citations

    31

    h-index

  2. Journal of Time Series Analysis

    51 publications · 9.5K citations

    30

    h-index

  3. 27

    h-index

  4. SSRN Electronic Journal

    Repository · 65 publications · 2.3K citations

    26

    h-index

  5. Journal of Business and Economic Statistics

    JBES · 24 publications · 3.1K citations

    20

    h-index

1–5