Efficient inference in large-scale queueing models using imprecise continuous-time Markov chains Ghent University
A continuous-time Markov chain is a probabilistic model that is successful at describing the
uncertain time evolution of various systems. Since it is also quite simple to make predictions about
its future behaviour, it has become a very popular tool in a large range of applied domains, including
engineering, artificial intelligence, mathematical finance, bio-informatics and queueing. However,
when the dimensions of the ...