Fractional Autocorrelation

Fractional Autocorrelation is a statistical measure in time series analysis that extends classical autocorrelation by quantifying the correlation between observations at non-integer lags through fractional differencing, thereby capturing long-range dependence in processes with memory.

47

Publications

2.7K

Citations

100

Authors

61

Institutions

Publications per year

2017–2026

8

Authors

100

  1. DM
    David Mendlovic

    Tel Aviv University, Israel

    4 publications · 243 citations

    4

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  2. OA
    Olcay Akay

    Dokuz Eylül University, Türkiye

    3 publications · 194 citations

    3

    h-index

  3. ZZ
    Zeev Zalevsky

    Bar-Ilan University, Israel

    2 publications · 56 citations

    2

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  4. YB
    Yigal Bitran

    Tel Aviv University, Israel

    2 publications · 73 citations

    2

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  5. PM
    Peter M. Robinson

    London School of Economics and Political Science, United Kingdom

    2 publications · 89 citations

    2

    h-index

1–5 of 100

Venues

  1. Applied Optics

    3 publications · 181 citations

    3

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  2. Signal Processing

    2 publications · 68 citations

    2

    h-index

  3. Applied Financial Economics

    2 publications · 102 citations

    2

    h-index

  4. IEEE Transactions on Signal Processing

    2 publications · 256 citations

    2

    h-index

  5. 2

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1–5