Gaussian approximation under weaker moment conditions

Determine whether comparable higher-order Wasserstein Gaussian approximation bounds hold for multivariate martingale sums generated by uniformly ergodic Markov chains under moment conditions weaker than the L^{(2+\eta)p} condition used in the main theorem.

Background

The main theorem assumes h belongs to Lq with q=(2+\eta)p, because the proof requires an intermediate exponent s satisfying p<s<q/2. The authors explain that, if explicit dependence on the Wasserstein order p is not required, their argument can be adapted to the weaker L{2p+\eta} condition. Whether comparable bounds can be obtained under still weaker moment assumptions is left unresolved.

References

It remains open whether comparable bounds hold under weaker moment conditions.

Gaussian Approximation for Multivariate Martingale Sums from Uniformly Ergodic Markov Chains  (2609.09480 - Zhang et al., 8 Sep 2026) in Section 2, subsection “L^{(2+\eta)p-moment condition”