Summary.We introduce a new family of non-homogeneous Poisson processes (NHPP) that are useful for modeling pure and contaminated self-similar processes which describe arrivals within a finite time period. Our motivation comes from the bid arrival process in online auctions.Modeling bid arrivals...

In this paper we propose a sampling-based implementation of the EM algorithm for modelbased clustering. By sampling-based we mean that the algorithm uses only a small sample from the entire database in every iteration. Using only a small sample allows for significant computational improvements....

Electronic commerce, and in particular online auctions, have received an extreme surge of popularity in recent years. While auction theory has been studied for a long time from a game-theory perspective, the electronic implementation of the auction mechanism poses new and challenging research...

This research uses functional data modelling to study the price formation process of online auctions. It conceptualizes the price curve and its first and second derivatives(velocity and acceleration respectively) as the primary objects of interest. Together these three functional objects permit...

Creating a loyal customer base is one of the most important, and at the same time, most difficult tasks a company faces. Creating loyalty online (e-loyalty) is especially difficult since customers can "switch" to a competitor with the click of a mouse. In this paper we investigate e-loyalty in...

As the online channel matures, many firms are finding that an understanding of how their online customers' preferences and choices vary across geographical markets can be very useful. In this paper, we propose a spatial multinomial model of customer choice and illustrate how spatial modeling of...