Uniform convergence to the $Q$-process

Nicolas Champagnat, Denis Villemonais

Electronic Communications in Probability · 2017 · 38 citations · 5 references

DOIFull text

Open access

Concepts

Abstract

The first aim of the present note is to quantify the speed of convergence of a conditioned process toward its $Q$-process under suitable assumptions on the quasi-stationary distribution of the process. Conversely, we prove that, if a conditioned process converges uniformly to a conservative Markov process which is itself ergodic, then it admits a unique quasi-stationary distribution and converges toward it exponentially fast, uniformly in its initial distribution. As an application, we provide a conditional ergodic theorem.

References

5