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

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 ...

This paper extends the dynamically formulated hidden Markov models to a high-order hidden Markov model (HO-HMM) formulation. In the HO-HMM, the Markovian assumption that the future states (interpreted ...

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 ...