Summary Statistic Selection

Summary Statistic Selection is the process of identifying a minimal set of informative features that adequately capture the relevant information in observed data for the purpose of parameter inference within Approximate Bayesian Computation.

29

Publications

1.9K

Citations

78

Authors

57

Institutions

Publications per year

2017–2026

5

Authors

78

  1. DP
    Dennis Prangle

    Newcastle University, United Kingdom

    3 publications · 140 citations

    3

    h-index

  2. YW
    Yee Whye Teh

    University of Oxford, United Kingdom

    2 publications · 20 citations

    2

    h-index

  3. JM
    Jovana Mitrovic

    University of Oxford, United Kingdom

    2 publications · 20 citations

    2

    h-index

  4. DS
    Dino Sejdinović

    University of Oxford, United Kingdom

    2 publications · 20 citations

    2

    h-index

  5. MA
    Matthew A. Nunes

    Lancaster University, United Kingdom

    1 publications · 152 citations

    1

    h-index

1–5 of 78

Venues

  1. Statistical Applications in Genetics and Molecular Biology

    SAGMB · 3 publications · 434 citations

    3

    h-index

  2. arXiv (Cornell University)

    Repository · 2 publications · 35 citations

    2

    h-index

  3. BioMed Research International

    1 publications · 29 citations

    1

    h-index

  4. Genetics

    1 publications · 117 citations

    1

    h-index

  5. Statistics and Computing

    1 publications · 63 citations

    1

    h-index

1–5