Electronic Communications in Probability · 2017 · 38 citations · 5 references
Natural SciencesMathematicsDynamical SystemsProbability TheoryStochastic ProcessesErgodic TheoryLimit TheoremsMarkov ProcessesStationary ProcessesConvergenceErgodic ProcessesErgodicityQuasi-stationary DistributionsUniform ConvergenceWeak Convergence Of Stochastic Processes
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.
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Quasi-stationary distributions and population processes
Probability Surveys · 2012 · 186 citations · Full text
Engineering, Ecology, Mathematics +17
Quasi-stationary distributions and diffusion models in population dynamics
Patrick Cattiaux, Pierre Collet, Amaury Lambert et al. · The Annals of Probability · 2009 · 142 citations · Full text