  In this paper we offer a review and bibliography of work on Hankel low-rank
approximation and completion, with particular emphasis on how this methodology
can be used for time series analysis and forecasting. We begin by describing
possible formulations of the problem and offer commentary on related topics and
challenges in obtaining globally optimal solutions. Key theorems are provided,
and the paper closes with some expository examples.
