Answers are grounded in this paper and cite their sources.
This paper extends the random surfer approach of Google's PageRank algorithm to general finite Markov chains that may consist of several ergodic classes and possible transient states. We will introduce the new concept of an extended ergodic projector of a Markov chain and we will show how the extended ergodic projector allows for intuitive better ranking of transient states. Numerical examples are provided to illustrate the effect of this new ranking approach.
No takes yet. Share an insight, caveat, or question.
Joost Berkhout (2016) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: