Abstract

Stochastic comparison is a method to prove bounds on performance metrics of stochastic
models. Here, coupling can be used to define two processes on a common probability
space, which makes it possible to compare the steady-state distributions of the processes.
Two processes are stochastically related if their steady-state distributions satisfy a certain
comparison relation.
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