Stochastic Bayesian Games
Stochastic Bayesian Games is a formal game-theoretic framework that extends Bayesian games by incorporating stochastic state transitions, where players jointly influence the evolution of a dynamic environment with imperfect information about others' types and the underlying state.
16
Publications
1.5K
Citations
35
Authors
19
Institutions
Publications per year
2017–2026
5
Parents
16
Pathological Outcomes of Observational Learning
Lones Smith · Econometrica · 2000 · 816 citations · Full text
On solutions of Bayesian games
Werner Böge, Th. Eisele · International Journal of Game Theory · 1979 · 114 citations
On Games that Involve Chance and the Skill of the Players
Émile Borel · Econometrica · 1953 · 78 citations
1–5 of 16
35
2
h-index
Rutgers, The State University of New Jersey, United States
2 publications · 69 citations
2
h-index
2
h-index
2
h-index
Massachusetts Institute of Technology, United States
2 publications · 69 citations
2
h-index
1–5 of 35
19
University of Michigan
Ann Arbor, United States
3 h-index
5 publications
1K citations
John Brown University
Siloam Springs, United States
2 h-index
2 publications
69 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
6 publications
207 citations

Uppsala University
Uppsala, Sweden
1 h-index
1 publications
67 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
1 h-index
3 publications
201 citations
University of Rhode Island
Kingston, United States
1 h-index
1 publications
22 citations
Yale University
New Haven, United States
1 h-index
1 publications
22 citations
Tsinghua University
Beijing, China
1 h-index
1 publications
35 citations
1–8 of 19
2 publications · 136 citations
2
h-index
Repository · 2 publications · 90 citations
2
h-index
2 publications · 894 citations
2
h-index
1 publications · 35 citations
1
h-index
1 publications · 67 citations
1
h-index
1–5