model predictions can be represented as the Aumann expectation of a properly defined random set. The sharp identification … moments of random variables to this Aumann expectation. Algorithms in convex programming can be exploited to efficiently …

predictions can be represented as the Aumann expectation of a properly defined random set. The sharp identification region of θ … random variables to this Aumann expectation. We show that algorithms in convex programming can be exploited to efficiently …

given covariates, to the conditional Aumann expectation given covariates of a properly defined random set. This is the … based on the support function of the conditional Aumann expectation. When only pure strategy Nash equilibria are played, the …

given covariates, to the conditional Aumann expectation given covariates of a properly defined random set. This is the … based on the support function of the conditional Aumann expectation. When only pure strategy Nash equilibria are played, the … distance from the conditional distribution of game’s outcomes given covariates, to the conditional Aumann expectation given …