Invariant Measures as Estimators: Second-Order Stochastic Expansions and Bias Reduction
We develop a general second-order asymptotic framework for estimators constructed from invariant probability measures of data-dependent Markov processes. The framework yields a universal bias correction for smooth functionals, computed from the same invariant measure used to construct the estimator, without the resampl...