Statesoften
Statesoften is a term used in the study of dynamical systems and probabilistic models to describe a pattern in which a small subset of states is visited disproportionately often compared with the rest. In such systems, the stationary or long-run visitation distribution is highly skewed, with a few recurrent states accounting for most of the time. The term is informal and not part of formal taxonomy; it is a concise shorthand that appears in technical blogs, lecture notes, and research discussions rather than in standard textbooks.
Origin and usage: Statesoften seems to have emerged as a lightweight way to reference the phenomenon of
Applications and implications: In Markov models, statesoften signals that model reduction may be appropriate by focusing
Examples: A simple two-state chain with high persistence in state A produces a statesoften distribution concentrated
See also: Markov chain, stationary distribution, recurrence, ergodicity, state-space reduction, heavy-tailed distributions.