Normal approximation for associated point processes via Stein's method with applications to determinantal point processes

We use Stein's method to provide non asymptotic $L^1$ bounds (also known as Wasserstein bounds) to the normal for functionals of associated point processes. As for supporting tools, we use the connection between association and $\alpha$-mixing properties that was recently uncovered by \cite{PDL17}. We apply our main results to determinantal point processes which are known to be negatively associated. A potential application to point processes in the Laguerre-Gaussian family is also presented.