Probabilistic model checking and Markov decision processes (MDPs) form two interlinked branches of formal analysis for systems operating under uncertainty. These techniques offer a mathematical ...

At its core, a Markov chain is a model for predicting the next event in a sequence based only on its state. It possesses ...

Understanding the heterogeneity over spatial locations is an important problem that has been widely studied in applications such as economics and environmental science. We focus on regression models ...