Probabilistic Graphical Models (PGMs) offer a robust yet intuitive framework to deal with uncertainty and complexity and have been effectively applied to diverse problems across multiple domains. While the majority of work has focused on cross-sectional data, there has been a recent increase of...

Our dual objectives are to explore how commercially available quantum hardware and algorithms can solve real world problems in finance, and then to compare quantum solutions to their classical counterparts. Specifically, we use the D-Wave quantum annealing computer (D-Wave 2000Q) to address the...

With the proliferation of algorithmic high-frequency trading in financial markets, the Limit Order Book has generated increased research interest. Research is still at an early stage and there is much we do not understand about the dynamics of Limit Order Books. In this paper, we employ a...

This research investigates the relationship between dining attributes, customer satisfaction and customer retention in the fast food industry. This research has brought out how to gain customer retention to the services and the factors that influence the customer retention. For this research...