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Counterfactual prediction in complete information games: Point prediction under partial identification
Sung Jae Jun
,
Joris Pinkse
Economics
Research output
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Contribution to journal
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Article
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peer-review
5
Scopus citations
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Dive into the research topics of 'Counterfactual prediction in complete information games: Point prediction under partial identification'. Together they form a unique fingerprint.
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Keyphrases
Partial Identification
100%
Complete Information Game
100%
Point Prediction
100%
Counterfactual Prediction
100%
Pure Nash Equilibrium
66%
Prediction Method
33%
Evil
33%
Min-max
33%
Maximum Entropy Method
33%
Maximum Entropy Approach
33%
Multiple Equilibria
33%
Decision Games
33%
Dirichlet
33%
Discrete Decisions
33%
Entropy Constraint
33%
Prediction Probability
33%
Mathematics
Maximum Entropy
100%
Complete Information
100%
Concludes
50%
Nash Equilibrium
50%
Probability Theory
50%
Multiple Equilibrium
50%
Prediction Method
50%
Computer Science
Maximum Entropy
100%
Nash Equilibrium
50%
Multiple Equilibrium
50%
Economics, Econometrics and Finance
Nash Equilibrium
100%