Traditional monopoly pricing models assume that firms have full information about the market demand and consumer preferences. In this article, we study a prototypical monopoly pricing problem for a seller with limited market information and different levels of demand learning capability under...

Traditional monopoly pricing models assume that firms have full information about the market demand and consumer preferences. In this paper we study a prototypical monopoly pricing problem for a seller with limited market information and different levels of demand learning capability under...

We propose a tractable, data-driven demand estimation procedure based on the use maximum entropy (ME) distributions, and apply it a stochastic capacity control problem motivated from airline revenue management. Specifically, we study the two fare-class "Littlewood" problem in a setting where the...

We propose a tractable, data-driven demand estimation procedure based on the use maximum entropy (ME) distributions, and apply it to a stochastic capacity control problem motivated from airline revenue management. Specifically, we study the two fare-class "Littlewood" problem in a setting where...

Problem Definition: Motivated by ride-hailing platforms such as Uber, Lyft and Didi, we study the problem of matching riders with self-interested drivers over a spatial network. We focus on the performance impact of two operational platform controls---demand-side admission control and...