A seller sets up an advertising policy so as to maximize a flow of discounted utility over time in a scenario characterized by two essential issues. First, the seller is ignorant from the outset of the prospective customers' willingness to buy and runs a Bayesian learning process in parallel to...

In this paper we propose a new method to specify linear models for vectors of time series with some convenient properties: First, it provides a unique modeling approach for single and multiple time series, as the same decisions are required in both cases. Second, it is scalable, meaning that it...

This paper tackles the mixed-frequency modeling problem from a new perspective. Instead of drawing upon the common distributed lag polynomial model, we use a transfer function representation to develop a new type of models, named TF-MIDAS. We derive the theoretical TF-MIDAS implied by the...