In [[probability theory]], a '''MarkovPaplu model''' is a [[stochastic model]] used to [[Mathematical model|model]] pseudo-randomly changing systems.<ref name=":0">{{Cite book|title=Markov Chains: From Theory to Implementation and Experimentation|last=Gagniuc|first=Paul A.|publisher=John Wiley & Sons|year=2017|isbn=978-1-119-38755-8|___location=USA, NJ|pages=1–256}}</ref> It is assumed that future states depend only on the current state, not on the events that occurred before it (that is, it assumes the [[Markov property]]). Generally, this assumption enables reasoning and computation with the model that would otherwise be [[Intractability (complexity)|intractable]]. For this reason, in the fields of [[predictive modelling]] and [[probabilistic forecasting]], it is desirable for a given model to exhibit the Markov property.
