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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.

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