Bayesian Ideal Point Models is a statistical framework for estimating latent ideal points of actors in political space from roll-call voting data, distinguished by its use of Bayesian inference to model uncertainty and incorporate prior information in the estimation process.
28
Publications
4.7K
Citations
44
Authors
38
Institutions
Publications per year
2017–2026
5
Parents
Publications
28
Pure Reasoning in 12-Month-Old Infants as Probabilistic Inference
Ernő Téglás, Edward Vul, Vittorio Girotto et al. · Science · 2011 · 329 citations
1–5 of 28
Authors
44
- JD
3
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- SJ
3
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- AB
2
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- RK
2
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- MB
2
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1–5 of 44
Institutions
38
Stanford University
Stanford, United States
6 h-index
7 publications
1.1K citations
Princeton University
Princeton, United States
4 h-index
6 publications
523 citations
Washington University in St. Louis
St Louis, United States
2 h-index
2 publications
1.4K citations
Georgetown University
Washington, United States
2 h-index
2 publications
388 citations
London School of Economics and Political Science
London, United Kingdom
1 h-index
1 publications
40 citations
University of Southern California
Los Angeles, United States
1 h-index
2 publications
24 citations
Fundação Getulio Vargas
Rio de Janeiro, Brazil
1 h-index
1 publications
14 citations
University of California San Diego
San Diego, United States
1 h-index
1 publications
329 citations
1–8 of 38
Venues
- Political Analysis
10 publications · 3.1K citations
10
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- American Journal of Political Science
AJPS · 4 publications · 766 citations
4
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- SSRN Electronic Journal
Repository · 2 publications · 130 citations
2
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- Journal of Politics in Latin America
JPLA · 1 publications · 46 citations
1
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- Irish Political Studies
1 publications · 19 citations
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