Moving Average Processes

Moving Average Processes is a discrete-time stochastic process in which the current value is defined as a linear combination of current and past white noise error terms, distinguished from other autoregressive or integrated processes by its dependence solely on these moving average components.

633

Publications

40.7K

Citations

1.1K

Authors

585

Institutions

Publications per year

2017–2026

74

Variants

Ma Processes

Authors

1.1K

  1. MS
    Murad S. Taqqu

    Boston University, United States

    8 publications · 498 citations

    8

    h-index

  2. RS
    Robert Stelzer

    Technical University of Munich, Germany

    6 publications · 156 citations

    6

    h-index

  3. PL
    Peter Lewis

    Naval Postgraduate School, United States

    6 publications · 547 citations

    6

    h-index

  4. EJ
    E. J. Godolphin

    Royal Holloway University of London, United Kingdom

    6 publications · 138 citations

    6

    h-index

  5. GS
    Grzegorz Sikora

    Wrocław University of Science and Technology, Poland

    6 publications · 185 citations

    6

    h-index

1–5 of 1.1K

Venues

  1. Biometrika

    39 publications · 4.6K citations

    23

    h-index

  2. Journal of Time Series Analysis

    35 publications · 1.6K citations

    21

    h-index

  3. Technometrics

    13 publications · 3.8K citations

    13

    h-index

  4. Econometric Theory

    12 publications · 724 citations

    12

    h-index

  5. The Annals of Probability

    13 publications · 864 citations

    12

    h-index

1–5