  This paper is concerned with statistical estimation of two preferential
attachment models: the Buckley-Osthus model and the hierarchical preferential
attachment model. We prove that the maximum likelihood estimates for both
models are consistent. We perform simulation studies to corroborate our
theoretical findings. We also apply both models to study the evolution of a
real-world network. A list of open problems are presented.
