This paper provides deterministic approximation results for stochastic processes that arise when finite populations … recurrently play finite games. The deterministic approximation is defined in continuous time as a system of ordinary differential … stochastic process, for large populations, and its deterministic approximation. In particular, we show that if the deterministic …

a standard solution involves complex multivariate models. A simple approximation has been shown to work well in … bivariate models. This paper extends the approximation to a trivariate model. Simulations show that the approximation … outperforms full maximum likelihood while a least squares approximation may be severely biased. The methods are used to estimate …

approximators. A number of nonexpansive approximation schemes are discussed. The main contribution is to provide error bounds for …