Tail probabilities for triangular arrays
Title: Tail probabilities for triangular arrays
Citation: Journal of dynamics and games, 2014, Vol. 1, No. 1, pp. 45-56
ISSN: 2164-6066; 2164-6074
Different discrete time triangular arrays representing a noisy signal of players' activities can lead to the same limiting diffusion process yet lead to different limit equilibria. Whether the limit equilibria are equilibria of the limiting continuous time game depends on the limit properties of test statistics for whether a player has deviated. We provide an estimate of the tail probabilities along these arrays that allows us to determine the asymptotic behavior of the best test and thus of the best equilibrium.
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