Urn Models is a probabilistic decision-making model that represents stochastic processes through the sampling of colored balls from an urn, where the evolving composition of the urn reflects dynamic changes in probabilities or preferences over time.
270
Publications
15.6K
Citations
386
Authors
239
Institutions
Publications per year
2017–2026
27
Variants
Urn Schemes
Parents
Publications
270
Ferguson Distributions Via Polya Urn Schemes
David Blackwell, James B. MacQueen · The Annals of Statistics · 1973 · 1.3K citations
A survey of random processes with reinforcement
Robin Pemantle · Probability Surveys · 2007 · 585 citations · Full text
Information Cascades in the Laboratory
Lisa R. Anderson, Charles A. Holt · American Economic Review · 1997 · 401 citations · Full text
1–5 of 270
Authors
386
- HM
8
h-index
- FH
7
h-index
- MK
7
h-index
- AL
5
h-index
- SK
5
h-index
1–5 of 386
Institutions
239
University of Virginia
Charlottesville, United States
8 h-index
17 publications
1.3K citations
George Washington University
Washington, United States
8 h-index
11 publications
523 citations
Uppsala University
Uppsala, Sweden
8 h-index
10 publications
445 citations
TU Wien
Vienna, Austria
8 h-index
15 publications
415 citations
Centre National de la Recherche Scientifique
Paris, France
7 h-index
8 publications
140 citations
Adam Mickiewicz University in Poznań
Poznan, Poland
5 h-index
5 publications
137 citations
Stanford University
Stanford, United States
5 h-index
7 publications
549 citations
National University of Singapore
Singapore, Singapore
5 h-index
11 publications
653 citations
1–8 of 239
Venues
- Journal of Applied Probability
JAP · 30 publications · 883 citations
18
h-index
- The Annals of Applied Probability
10 publications · 400 citations
10
h-index
- The Annals of Probability
9 publications · 677 citations
9
h-index
- Advances in Applied Probability
AAP · 8 publications · 180 citations
8
h-index
- Stochastic Processes and their Applications
6 publications · 281 citations
6
h-index
1–5