A unified presentation of some urn models
For a sequence of m urns we investigate how the number of urns satisfying a certain condition (e.g., being empty) evolves in time when after each time unit a ball is thrown. We show for a variety of urn models that this process (suitably normalized) converges weakly to a Gaussian process.
urn models gaussian process weak limit theorem