We consider the problem of estimating the rate of convergence to stationarity of a continuous-time, finite-state Markov chain. This is done via an estimator of the second-largest eigenvalue of the ...
We derive necessary and sufficient conditions for the existence of bounded or summable solutions to systems of linear equations associated with Markov chains. This substantially extends a famous ...
At its core, a Markov chain is a model for predicting the next event in a sequence based only on its state. It possesses ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results