Thesiss

Part I Ranking data, which result from m raters ranking n items, are difficult to visualize due to their discrete algebraic structure, and the computational difficulties associated with them when n is large. This problem becomes worse when raters provide tied rankings or not all…

We consider change-point detection and estimation in two different settings. The objective is to halt a process when the process generating observations deviates from a specified in control standard, in which case the process is referred to as out of control. We propose a Bayesi…

Probabilistic models have a rich history in machine learning, offering a theoretical and practical framework for learning from observed data. Probabilistic models describe relationships between observed data and latent variables in terms of probability distributions. Practitione…

In both developed and emerging-economies, major cities continue to experience increasing traffic congestion. To address this issue, complex Traffic Management Systems (TMS) are employed in recent years to help manage traffic. These systems fuse traffic-surveillance-related infor…