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
74
Modern Applied Statistics with S Fourth edition
W. N. Venables, B. D. Ripley · 2002 · 2.5K citations
Handbook of Methods of Applied Statistics
David M. Allen, I. M. Chakravarti, R. C. Laha et al. · Technometrics · 1968 · 287 citations
1–5 of 74
158
3
h-index
University of North Carolina at Chapel Hill, United States
3 publications · 1.1K citations
3
h-index
2
h-index
2
h-index
2
h-index
1–5 of 158
74
Battelle
Columbus, United States
2 h-index
2 publications
169 citations

Queensland University of Technology
Brisbane, Australia
2 h-index
6 publications
645 citations

University of Warwick
Coventry, United Kingdom
2 h-index
4 publications
365 citations
Alcoa (United States)
New York, United States
2 h-index
2 publications
158 citations
Courant Institute of Mathematical Sciences
New York, United States
2 h-index
3 publications
699 citations

Tel Aviv University
Tel Aviv, Israel
2 h-index
3 publications
236 citations

The University of Melbourne
Melbourne, Australia
2 h-index
2 publications
90 citations

Johns Hopkins Medicine
Baltimore, United States
1 h-index
1 publications
339 citations
1–8 of 74
12 publications · 1K citations
11
h-index
6 publications · 306 citations
6
h-index
AJHG · 3 publications · 257 citations
3
h-index
2 publications · 785 citations
2
h-index
2 publications · 65 citations
2
h-index
1–5