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How to prove that $W(\hat{\pi}^N)$ is a consistent estimator of $W(\pi)$?

Let $\hat{\pi}^N$ be an AW-consistent estimator of $\pi$ (i.e., $\hat{\pi}^N$ is a strongly consistent estimator of $\pi$ under adapted (or called nested) Wasserstein distance $AW(\pi, \hat{\pi}^N)\to 0 $ a.s.).

How to prove that $W(\hat{\pi}^N)$ is a consistent estimator of $W(\pi)$?

Hermi
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