The paper proves consistency and asymptotic normality for empirical expected signature estimators under irregular and dependent sampling and proposes a martingale correction that lowers estimator variance.
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Learning with Expected Signatures: Theory and Applications
The paper proves consistency and asymptotic normality for empirical expected signature estimators under irregular and dependent sampling and proposes a martingale correction that lowers estimator variance.