Strong uniform times and finite random walks
Advances in Applied Mathematics
Stochastic ordering for Markov processes on partially ordered spaces
Mathematics of Operations Research
Majorization of Weighted Trees: A New Tool to Study Correlated Stochastic Systems
Mathematics of Operations Research
Series Jackson Networks and Noncrossing Probabilities
Mathematics of Operations Research
Hi-index | 0.00 |
For Markov chains with a finite, partially ordered state space, we show strong stationary duality under the condition of Möbius monotonicity of the chain. We give examples of dual chains in this context which have no downwards transitions. We illustrate general theory by an analysis of nonsymmetric random walks on the cube with an interpretation for unreliable networks of queues.