Observational Inference

Observational Inference is a methodological framework within inductive reasoning that involves deriving generalizable conclusions about phenomena through systematic analysis of empirical observations, distinguished by its reliance on naturally occurring data rather than controlled experimental interventions.

97

Publications

5.7K

Citations

252

Authors

116

Institutions

Publications per year

2017–2026

37

Authors

252

  1. AF
    Avi Feller

    University of California, Berkeley, United States

    5 publications · 198 citations

    5

    h-index

  2. JR
    Jesse Rothstein

    University of California, Berkeley, United States

    3 publications · 53 citations

    3

    h-index

  3. EB
    Eli Ben‐Michael

    University of California, Berkeley, United States

    3 publications · 53 citations

    3

    h-index

  4. AD
    Alexander D’Amour

    Google (United States), United States

    2 publications · 145 citations

    2

    h-index

  5. LL
    Lihua Lei

    University of California, Berkeley, United States

    2 publications · 145 citations

    2

    h-index

1–5 of 252

Venues

  1. 3

    h-index

  2. Philosophy of Science

    2 publications · 53 citations

    2

    h-index

  3. Geophysical Research Letters

    2 publications · 113 citations

    2

    h-index

  4. arXiv (Cornell University)

    Repository · 2 publications · 39 citations

    2

    h-index

  5. 2

    h-index

1–5