Summary Statistics Selection
Summary Statistics Selection is the systematic process of identifying and choosing a subset of informative features or metrics from simulated data that optimally capture the relevant information for performing accurate and efficient inference in simulation-based models while minimizing dimensionality and preserving inferential validity.
96
Publications
7.6K
Citations
436
Authors
222
Institutions
Publications per year
2017–2026
30
Parents
96
Paul Fearnhead, Dennis Prangle · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 2012 · 596 citations · Full text
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University of Michigan
Ann Arbor, United States
5 h-index
7 publications
386 citations
Lancaster University
Lancaster, United Kingdom
4 h-index
10 publications
1.5K citations
University College London
London, United Kingdom
4 h-index
8 publications
485 citations
Charles University
Prague, Czechia
3 h-index
3 publications
259 citations
Purdue University West Lafayette
West Lafayette, United States
3 h-index
3 publications
60 citations
University of Oxford
Oxford, United Kingdom
3 h-index
7 publications
195 citations
Duke University
Durham, United States
3 h-index
9 publications
400 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
2 h-index
6 publications
308 citations
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Repository · 5 publications · 151 citations
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5 publications · 298 citations
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SAGMB · 3 publications · 434 citations
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Repository · 3 publications · 125 citations
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3 publications · 644 citations
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