Noise-robust Estimation

Noise-Robust Estimation is a methodological framework in high-frequency time series analysis that enables accurate parameter inference by minimizing the distorting effects of measurement noise and microstructure noise inherent in observed data.

855

Publications

47.3K

Citations

2K

Authors

916

Institutions

Publications per year

2017–2026

188

Authors

2K

  1. PA
    Per A. Mykland

    University of Chicago, United States

    10 publications · 1.5K citations

    10

    h-index

  2. YA
    Yacine Aı̈t-Sahalia

    Princeton University, United States

    8 publications · 1.8K citations

    8

    h-index

  3. TQ
    Tianshuang Qiu

    Dalian University of Technology, China

    7 publications · 214 citations

    7

    h-index

  4. PS
    Petre Stoica

    Uppsala University, Sweden

    7 publications · 752 citations

    7

    h-index

  5. AL
    Asger Lunde

    Aarhus University, Denmark

    6 publications · 1.8K citations

    6

    h-index

1–5 of 2K

Venues

  1. IEEE Transactions on Signal Processing

    60 publications · 3.1K citations

    31

    h-index

  2. Signal Processing

    36 publications · 1K citations

    19

    h-index

  3. IEEE Signal Processing Letters

    17 publications · 571 citations

    15

    h-index

  4. Journal of Econometrics

    14 publications · 1.3K citations

    14

    h-index

  5. SSRN Electronic Journal

    Repository · 14 publications · 823 citations

    13

    h-index

1–5