Spline-based Estimation

Spline-Based Estimation is a semiparametric modeling technique that uses piecewise polynomial functions, joined at specified knots, to flexibly estimate unknown functional forms while maintaining smoothness and continuity.

382

Publications

34.5K

Citations

743

Authors

392

Institutions

Publications per year

2017–2026

60

Authors

743

  1. GW
    Grace Wahba

    University of Wisconsin–Madison, United States

    11 publications · 1.2K citations

    11

    h-index

  2. LY
    Lijian Yang

    Michigan State University, United States

    12 publications · 638 citations

    11

    h-index

  3. HL
    Hua Liang

    George Washington University, United States

    8 publications · 442 citations

    8

    h-index

  4. SM
    Shujie Ma

    University of California, Riverside, United States

    8 publications · 286 citations

    8

    h-index

  5. DR
    David Ruppert

    Cornell University, United States

    6 publications · 514 citations

    6

    h-index

1–5 of 743

Venues

  1. The Annals of Statistics

    26 publications · 3.3K citations

    19

    h-index

  2. Biometrika

    18 publications · 11.9K citations

    16

    h-index

  3. Journal of the American Statistical Association

    15 publications · 794 citations

    13

    h-index

  4. Computational Statistics & Data Analysis

    CSDA · 11 publications · 290 citations

    10

    h-index

  5. Biometrics

    10 publications · 707 citations

    10

    h-index

1–5