State Space Imputation

State Space Imputation is a missing data imputation method that operates within a state space model framework, distinguishing itself by jointly estimating latent system states and parameters through recursive filtering and smoothing techniques to reconstruct missing observations in time series data.

13

Publications

909

Citations

51

Authors

26

Institutions

Publications per year

2017–2026

9

Authors

51

  1. HT
    Huachun Tan

    Beijing Institute of Technology, China

    2 publications · 578 citations

    2

    h-index

  2. QY
    Qiaolin Ye

    Nanjing Forestry University, China

    1 publications · 24 citations

    1

    h-index

  3. SD
    Shweta Dahale

    Kansas State University, United States

    1 publications · 27 citations

    1

    h-index

  4. AR
    Abduh Riski

    Universitas Jember, Indonesia

    1 publications · 20 citations

    1

    h-index

  5. DK
    Dong‐Kyu Kim

    Seoul National University, South Korea

    1 publications · 19 citations

    1

    h-index

1–5 of 51

Venues

  1. IEEE Transactions on Power Systems

    2 publications · 143 citations

    2

    h-index

  2. Applied Sciences

    1 publications · 19 citations

    1

    h-index

  3. Journal of Physics Conference Series

    1 publications · 20 citations

    1

    h-index

  4. 1

    h-index

  5. 1

    h-index

1–5