  In this paper, we propose a method for estimating the distribution of time
differences between connected events (such as ad impressions and corresponding
customer calls). A special feature of this method is that it does not require
matching those connected events with each other. The method is very simple to
use as it essentially consists of computing an ordinary least squares
estimator.
