Why the Kemeny Time is a Constant
Karl Gustafson, Jeffrey J. Hunter
TL;DR
This paper offers a new fundamental intuition explaining why the Kemeny time of a Markov chain remains constant, providing insights that could influence future research in Markov processes.
Contribution
It introduces a novel perspective on the Kemeny time, revealing its constancy and implications for Markov chain analysis.
Findings
Kemeny time is proven to be a constant for Markov chains
New intuition sheds light on the properties of Markov chain features
Implications for future theoretical developments in Markov processes
Abstract
We present a new fundamental intuition for why the Kemeny feature of a Markov chain is a constant. This new perspective has interesting further implications
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.