Regression Inference

Regression Inference is a statistical method that belongs to the broader class of inferential techniques used to draw conclusions about population parameters based on regression models, specifically distinguished by its focus on estimating and testing relationships between predictor variables and a response variable under probabilistic assumptions.

276

Publications

50.3K

Citations

450

Authors

232

Institutions

Publications per year

2017–2026

42

Authors

450

  1. MJ
    Michael Jansson

    University of California, Berkeley, United States

    5 publications · 419 citations

    5

    h-index

  2. RJ
    Ryan J. Tibshirani

    Carnegie Mellon University, United States

    6 publications · 1.6K citations

    5

    h-index

  3. AR
    Alessandro Rinaldo

    Carnegie Mellon University, United States

    4 publications · 892 citations

    4

    h-index

  4. RD
    R. Dennis Cook

    University of Minnesota, United States

    4 publications · 5.6K citations

    4

    h-index

  5. YT
    Yongge Tian

    Central University of Finance and Economics, China

    4 publications · 69 citations

    4

    h-index

1–5 of 450

Venues

  1. 24

    h-index

  2. Technometrics

    20 publications · 16.9K citations

    17

    h-index

  3. Biometrika

    17 publications · 1.8K citations

    14

    h-index

  4. The American Statistician

    12 publications · 2K citations

    12

    h-index

  5. Journal of Econometrics

    9 publications · 675 citations

    9

    h-index

1–5