| Résumé: | We establish new explicit bounds on the Gaussian approximation of Poisson functionals based on novel estimates of moments of Skorohod integrals.
Combining these with the Malliavin–Stein method, we derive bounds in the
Wasserstein and Kolmogorov distances whose application requires minimal
moment assumptions on add-one cost operators — thereby extending the results from (Last, Peccati and Schulte, 2016). Our applications include a central limit theorem (CLT) for the Online Nearest Neighbour graph, whose validity was conjectured in (Wade, 2009; Penrose and Wade, 2009). We also
apply our techniques to derive quantitative CLTs for edge functionals of the
Gilbert graph, of the k-Nearest Neighbour graph and of the Radial Spanning
Tree. In most cases, even the qualitative CLTs are new.
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