Memory Parameter Estimation

Memory Parameter Estimation is a statistical methodology within time series analysis that specifically quantifies the degree of long-range dependence in a stochastic process by estimating the memory parameter, typically denoted as *d*, which characterizes the persistence of autocorrelation over time.

230

Publications

17.7K

Citations

342

Authors

269

Institutions

Publications per year

2017–2026

16

Authors

342

  1. PM
    Peter M. Robinson

    London School of Economics and Political Science, United Kingdom

    15 publications · 1.1K citations

    13

    h-index

  2. CM
    Clifford M. Hurvich

    New York University, United States

    12 publications · 1.1K citations

    10

    h-index

  3. CV
    Carlos Velasco

    Universidad Carlos III de Madrid, Spain

    9 publications · 1K citations

    9

    h-index

  4. LG
    Liudas Giraitis

    London School of Economics and Political Science, United Kingdom

    8 publications · 685 citations

    8

    h-index

  5. PC
    Peter C.B. Phillips

    Yale University, United States

    8 publications · 1K citations

    8

    h-index

1–5 of 342

Venues

  1. Journal of Time Series Analysis

    28 publications · 5.2K citations

    21

    h-index

  2. Journal of Econometrics

    12 publications · 2.8K citations

    11

    h-index

  3. RePEc: Research Papers in Economics

    Repository · 7 publications · 282 citations

    7

    h-index

  4. Econometric Theory

    7 publications · 675 citations

    7

    h-index

  5. Journal of Business and Economic Statistics

    JBES · 7 publications · 1.4K citations

    7

    h-index

1–5