Probabilistic Population Synthesis
Probabilistic Population Synthesis is a synthetic population generation method that constructs individual-level demographic representations by statistically inferring the most likely distribution of attributes from aggregate data and marginal constraints using probabilistic modeling techniques.
10
Publications
673
Citations
24
Authors
24
Institutions
Publications per year
2017–2026
5
10
1–5 of 10
24
2
h-index
2
h-index
1
h-index
1
h-index
1
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1–5 of 24
24
ETH Zurich
Zurich, Switzerland
2 h-index
3 publications
64 citations

Monash University
Melbourne, Australia
2 h-index
5 publications
456 citations
ARC Centre of Excellence for Gravitational Wave Discovery
Melbourne, Australia
2 h-index
6 publications
528 citations

University of Birmingham
Birmingham, United Kingdom
2 h-index
2 publications
192 citations

University of Vermont
Burlington, United States
1 h-index
1 publications
64 citations
Massachusetts Institute of Technology
Cambridge, United States
1 h-index
1 publications
190 citations

Ministry of Infrastructure and Water Management
The Hague, The Netherlands
1 h-index
1 publications
79 citations

Ministry of Transportation of Ontario
Toronto, Canada
1 h-index
1 publications
79 citations
1–8 of 24
3 publications · 255 citations
3
h-index
1 publications · 64 citations
1
h-index
1 publications · 16 citations
1
h-index
Repository · 1 publications · 28 citations
1
h-index
RSRS · 1 publications · 18 citations
1
h-index
1–5