Auxiliary Summary Statistics

Auxiliary Summary Statistics is a methodological construct in Approximate Bayesian Computation that refers to a set of low-dimensional summary measures derived from simulated data to approximate the likelihood function when the full data likelihood is intractable.

74

Publications

8.9K

Citations

158

Authors

74

Institutions

Publications per year

2017–2026

13

Authors

158

  1. LS
    Lothar Sachs

    Courant Institute of Mathematical Sciences, United States

    3 publications · 403 citations

    3

    h-index

  2. IM
    I. M. Chakravarti

    University of North Carolina at Chapel Hill, United States

    3 publications · 1.1K citations

    3

    h-index

  3. GC
    George C. Derringer

    Battelle, United States

    2 publications · 169 citations

    2

    h-index

  4. JR
    Jason Roy

    University of Pennsylvania, United States

    2 publications · 448 citations

    2

    h-index

  5. CP
    Christian P. Robert

    Université Paris Dauphine-PSL, France

    2 publications · 47 citations

    2

    h-index

1–5 of 158

Venues

  1. Technometrics

    12 publications · 1K citations

    11

    h-index

  2. 6

    h-index

  3. The American Journal of Human Genetics

    AJHG · 3 publications · 257 citations

    3

    h-index

  4. 2

    h-index

  5. Statistics in Medicine

    2 publications · 65 citations

    2

    h-index

1–5