Alexander Erreygers

Markovian Imprecise Jump Processes: Foundations, Algorithms and Applications

This dissertation covers several theoretical and practical aspects of Markovian imprecise jump processes. A Markovian imprecise jump process is a particular type of stochastic process, meaning that it is a mathematical model for a dynamical system whose state evolves over time in an uncertain manner. In particular, it is a specific type of stochastic process for a system that evolves in continuous time and whose state assumes values in a finite state space.