Robust Semiparametric Estimation

Robust Semiparametric Estimation is a semiparametric inference method that combines parametric modeling of key relationships with nonparametric flexibility in nuisance components while maintaining validity and efficiency under model misspecification, outliers, or deviations from distributional assumptions.

80

Publications

4.9K

Citations

158

Authors

116

Institutions

Publications per year

2017–2026

22

Authors

158

  1. EJ
    Eric J. Tchetgen Tchetgen

    Harvard University, United States

    5 publications · 233 citations

    5

    h-index

  2. JM
    James M. Robins

    Harvard University, United States

    4 publications · 259 citations

    4

    h-index

  3. MJ
    Mark J. van der Laan

    University of California, Berkeley, United States

    3 publications · 245 citations

    3

    h-index

  4. SY
    Shu Yang

    North Carolina State University, United States

    3 publications · 51 citations

    3

    h-index

  5. GB
    Graciela Boente

    Universidad de Buenos Aires, Argentina

    3 publications · 79 citations

    3

    h-index

1–5 of 158

Venues

  1. Biometrika

    9 publications · 378 citations

    9

    h-index

  2. 6

    h-index

  3. The Annals of Statistics

    5 publications · 797 citations

    5

    h-index

  4. Statistics in Medicine

    4 publications · 99 citations

    4

    h-index

  5. Journal of Statistical Computation and Simulation

    JSCS · 3 publications · 37 citations

    3

    h-index

1–5