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

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 ...

MIS Quarterly, Vol. 42, No. 1 (March 2018), pp. 83-100, A1-A8 (26 pages) User contribution is critical to online communities but also difficult to sustain given its public goods nature. This paper ...

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 ...