Abstract
This paper studies the convergence of empirical measures of a stochastic
approximation toward the invariant distribution of a Feller process. In
particular, we provide a general and abstract approach to establish Central
Limit Theorems (CLT) with given rate . Moreover, considering weighted empirical
measures of a weak order two stochastic approximation, we show its second order
convergence while the CLT for standard empirical measures has order one. We
also propose various applications: First order CLT for the approximation of
Markov Brownian diffusion stationary regimes with Euler scheme (where we
recover existing results from literature) and second order CLT for the
approximation of Brownian diffusion stationary regimes using Talay scheme
(1990) of weak order two.
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