Poisson statistics of eigenvalues in the hierarchical Anderson model

We study the eigenvalue statistics for the hieracharchial Anderson model of Molchanov. We prove Poisson fluctuations at arbitrary disorder, when the the model has spectral dimension d<1. The proof is based on Minami’s technique and we give an elementary exposition of the probabilistic arguments.