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Table 1 shows the percent relative bias and rate of convergence (percent converged) for different simulation conditions.
The rate of convergence is grid-independent.
For set estimation, the estimators adaptively achieve the optimal rate of convergence.
Empirically, this can yield a constant rate of convergence for some non-convex objectives.
''The Rate of Convergence of Continuous Fictitious Play," Economic Theory, 7: 161-178 (1996).
The anticipated strategy enhances the rate of convergence.
A formula for the rate of convergence is also derived.
As a result, the rate of convergence has dropped to almost zero.
Very fast rate of convergence of the method is demonstrated.
We complement our upper bound by constructing a nearly-matching lower bound on the worst-case rate of convergence.
Among the contributions of this paper, there are conditions for when exponential rate of convergence occurs.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com